Eric Horvitz: Publications by topic area

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• Decisions, uncertainty, and computation
  
  
• Machine learning
  
  
• Search and retrieval
  
  
• Biomedical informatics
  
  
• Dialog and interaction
  
  
• Human computation and crowdsourcing
  
  
• People, cognition, and computing
  
  

Decisions, uncertainty, and computation

• E. Kamar, A. Kapoor, and E. Horvitz. Lifelong Learning for Acquiring the Wisdom of the Crowd, IJCAI 2013, Beijing, China, August 2013.
  
  
• S. Rosenthal, D. Bohus, E. Kamar, E. Horvitz. Look versus Leap: Computing Value of Information with High-Dimensional Streaming Evidence, IJCAI 2013, Beijing, China, August 2013.
  
  
• H. Zhang, E. Horvitz, D. Parkes. Automated Workflow Synthesis, AAAI 2013, Bellevue, Washington, July 2013.
  
  
• E. Kamar and E. Horvitz. Light at the End of the Tunnel: A Monte Carlo Approach to Computing Value of Information, AAMAS 2013, St. Paul, Minnesota, May 2013.
  
  
• A. Sadilek, J. Krumm, and E. Horvitz. Crowdphysics: Planned and Opportunistic Crowdsourcing for Physical Tasks, ICWSM 2013, Boston, MA, July 2013.
  
  
• E. Kamar, S. Hacker, E. Horvitz. Combining Human and Machine Intelligence in Large-scale Crowdsourcing, AAMAS 2012, Valencia, Spain, June 2012.
  
  
• X. Chen, P.N. Bennett, K. Collins-Thompson, E. Horvitz. Pairwise Ranking Aggregation in a Crowdsourced Setting, WSDM 2013, Rome, February 2013.
  
  
• R. West, R.W. White, E. Horvitz, From Cookies to Cooks: Insights on Dietary Patterns via Analysis of Web Usage Logs, WWW 2013, Rio de Janeiro, Brazil, May 2013.
  
  
• E. Horvitz and J. Krumm. Some Help on the Way: Opportunistic Routing under Uncertainty, Ubicomp 2012, Pittsburgh, PA, September 2012.
  
  
• E. Horvitz. Reflections on Judea Pearl and his contributions (introductory comments at UAI special session), UAI 2012, Catalina, CA, August 2012 (photo after session).
  
  
• H. Zhang, E. Horvitz Y. Chen, and D. Parkes. Task Routing for Prediction Tasks, AAMAS 2012, Valencia, Spain, June 2012.
  
  
• E. Kamar and E. Horvitz. Incentives for Truthful Reporting in Crowdsourcing, AAMAS 2012, Valencia, Spain, June 2012.
  
  
• D. Shahaf and E. Horvitz. Generalized Task Markets for Human and Machine Computation, AAAI 2010, Atlanta, GA, July 2010.
  
  
• A. Krause and E. Horvitz. A Utility-theoretic Approach to Privacy in Online Services, Journal of Artificial Intelligence Research, 39 (2010) 633-662.
  
  
• A. Kapoor, S. Baker, S. Basu, E. Horvitz. Memory Constrained Face Recognition, CVPR 2012, Providence, Rhode Island, June, 2012.
  
  
• D. Bohus and E. Horvitz. Decisions about Turns in Multiparty Conversation: From Perception to Action, ICMI 2011: International Conference on Multimodal Interaction, Alicante, Spain, November, 2011.
  
  
• H. Zhang, E. Horvitz, Y. Chen, and D.C. Parkes, Task Routing for Prediction Tasks Workshop on Social Computing and User-Generated Content, EC 2011: 12th ACM Conference on Electronic Commerce , San Jose, June 2011.
  
  
• S. Seuken, D.Parkes, E. Horvitz, K. Jain, M. Czerwinski, and D. Tan, Market User Interface Design, Conference on Auctions, Market Mechanisms and their Applications(CHI), New York, NY, August 2011.
  
  
• E. Kamar and E. Horvitz, Jogger: Investigation of Principles of Context-Sensitive Reminding, Proceedings of International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), Tapei, May 2011.
  
  
• E. Kamar and E. Horvitz. Collaboration and Shared Plans in the Open World: Studies of Ridesharing, IJCAI 2009, Pasadena, CA, July 2009.
  
  
• D. Shahaf and E. Horvitz. Investigations of Continual Computation, IJCAI 2009, Pasadena, CA, July 2009.
  
  
• A. Kapoor and E. Horvitz. Breaking Boundaries: Active Information Acquisition Across Learning and Diagnosis, NIPS 2009, Vancouver, BC, December 2009.
  
  
• E. Horvitz and W.B. Kristan, Toward a Computational Microscope for Neurobiology. In: T. Hey, S. Tansley, and K. Tolle, eds., The Fourth Paradigm: Data-Intensive Scientific Discovery, Redmond: Microsoft Research, 2009.
  
  
• E. Horvitz and T. Mitchell, From Data to Knowledge to Action: A Global Enabler for the 21st Century, Data Analytic Series, Computing Community Consortium, Computing Research Association (CRA), June 2010.
  
  
• A. Kapoor, N. Eagle, E. Horvitz. People, Quakes, and Communications: Inferences from Call Dynamics about a Seismic Event and its Influences on a Population. Proceedings of AAAI Symposium on Artificial Intelligence for Development, Stanford CA, March 2010.
  
  
• E. Kamar and E. Horvitz. Generating Shared Transportation Plans Under Varying Preferences: Ridesharing Models and Mechanisms, Microsoft Research Technical report, MSR-TR-2009-2011, April 2009.
  
  
• E. Horvitz. Artificial Intelligence in the Open World, AAAI Presidential Lecture, Chicago, IL, July 2008.
  
  
• E. Kamar, E. Horvitz, C. Meek. Mobile Opportunistic Commerce: Mechanisms, Architecture, and Application, Proceedings of AAMAS 2008, Estoril, Portugal, May 2008.
  
  
• A. Krause and E. Horvitz. A Utility-Theoretic Approach to Privacy and Personalization, AAAI-08: Twenty-Third Conference on Artificial Intelligence, Chicago, Illinois, July 2008.
  
  
• A. Kapoor, D. Tan, P. Shenoy, E. Horvitz. Complementary Computing for Visual Tasks: Meshing Computer Vision with Human Visual Processing, IEEE International Conference on Automatic Face and Gesture Recognition.
  
  
• A. Krause, E. Horvitz, A. Kansal, F. Zhao. Toward Community Sensing, Proceedings of IPSN 2008, International Conference on Information Processing in Sensor Networks, St. Louis, Missouri, April 2008.
  
  
• A. Krause and E. Horvitz. Privacy, Personalization, and the Web: A Utility-theoretic Approach, NIPS Workshop on Machine Learning for Web Search, Whistler, British Columbia, December 2007.
  
  
• A. Kapoor and E. Horvitz. Experience Sampling for Building Predictive User Models: A Comparative Study, Proceedings of CHI 2008, Florence, Italy, April 2008.
  
  
• A. Kapoor and E. Horvitz. On Discarding, Caching, and Recalling Samples in Active Learning, Proceedings of the Conference on Uncertainty and Artificial Intelligence 2007, AUAI Press, July 2007.
  
  
• A. Kapoor, E. Horvitz, and S. Basu. Selective Supervision: Guiding Supervised Learning with Decision-Theoretic Active Learning, Proceedings of International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, January 2007.
  
  
• J. Krumm and E. Horvitz. Predestination: Where Do You Want to Go Today?, IEEE Computer, April 2007.
  
  
• J. Krumm, J. Letchner, and E. Horvitz. Map Matching with Travel Time Constraints, Society of Automotive Engineers (SAE), 2007 World Congress, April 2007.
  
  
• E. Horvitz. Reflections on Challenges and Promises of Mixed-Initiative Interaction, AAAI Magazine 28, Special Issue on Mixed-Initiative Assistants (2007).
  
  
• E. Horvitz and T. Paek. Complementary Computing: Policies for Transferring Callers from Dialog Systems to Human Receptionists. User Modeling and User Adapted Interaction 17 (2007).
  
  
• E. Horvitz and P. Koch. Mobile Opportunistic Planning: Methods and Models. Proceedings of the Eleventh Conference on User Modeling (UM 2005), June 2007, Corfu, Greece, pp. 238–247.
  
  
• J. Krumm and E Horvitz. Predestination: Inferring Destinations from Partial Trajectories, UbiComp 2006: Eighth International Conference on Ubiquitous Computing, September 2006.
  
  
• J. Letchner, J. Krumm, and E. Horvitz, Trip Router with Individualized Preferences: Incorporating Personalization into Route Planning, Eighteenth Conference on Innovative Applications of Artificial Intelligence, July 2006.
  
  
• E. Horvitz, Reflection: Expectations in 50 years, New Scientist, 50th Anniversary Edition, November 2006.
  
  
• E. Horvitz, J. Apacible, M. Subramani. Balancing Awareness and Interruption: Investigation of Notification Deferral Policies. Proceedings of the Tenth Conference on User Modeling (UM 2005), July 2005, Edinburgh, Scotland.
  
  
• D. Achlioptas and E. Horvitz. Principles of Bounded Deferral for Balancing Information Awareness with Interruption. Microsoft Research Technical Report MSR-TR-2005-87, July 2005.
  
  
• N. Oliver and E. Horvitz. A Comparison of HMMs and Dynamic Bayesian Networks for Recognizing Office Activities. Proceedings of the Tenth Conference on User Modeling (UM 2005), July 2005, Edinburgh, Scotland.
  
  
• A. Youssef, J. Krumm, E. Miller, G. Cermak, E. Horvitz, Computing Location from Ambient FM Radio Signals, Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC 2005), March 2005.
  
  
• T. Paek and E. Horvitz. Optimizing Automated Call Routing by Integrating Spoken Dialog Models with Queuing Models, HLT 2004: Human Language Technology Conference, May 2004.
  
  
• Y. Ruan, H. Kautz, E. Horvitz, The Backdoor Key: A Path to Understanding Problem Hardness, Proceedings of the Nineteenth National Conference on Artificial Intelligence, AAAI 2004, San Jose, CA..
  
  
• J. Krumm and E. Horvitz, LOCADIO: Inferring Motion and Location from Wi-Fi Signal Strengths, Proceedings of the Mobiquitous 2004, Boston, MA..
  
  
• N. Oliver and E. Horvitz. Selective Perception Policies for Limiting Computation in Multimodal Systems: A Comparative Analysis, Proceedings of the Fifth ACM International Conference on Multimodal Interfaces, November 2003, Vancouver, BC, Canada.
  
  
• N. Oliver and E. Horvitz. Selective Perception Policies for Guiding Sensing and Computation in Multimodal Systems: A Comparative Analysis. Lectures Notes in Computer Science. Springer Verlag. January 2005.
  
  
• Y. Ruan, E. Horvitz, H. Kautz. Hardness-Aware Restart Policies. IJCAI-03 Workshop on Stochastic Search Algorithms, August 2003, Acapulco, Mexico.
  
  
• D. Azari, E. Horvitz, S. Dumais, E. Brill. A Decision Making Perspective on Web Question Answering, Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence, Acapulco, Mexico, August 2003.
  
  
• J. Krumm, G. Cermak, E. Horvitz. RightSPOT: A Novel Sense of Location for a Smart Personal Object, In Proceedings of Ubicomp 2003, Seattle, WA, pp. 36-43.
  
  
• U. Nodelman and E. Horvitz, Continuous Time Bayesian Networks for Inferring Users’ Presence and Activities with Extensions for Modeling and Evaluation, Microsoft Research Technical Report MSR-TR-2003-97, December 2003.
  
  
• Y. Ruan, E. Horvitz, H. Kautz, Restart Policies with Dependence among Runs: A Dynamic Programming Approach, In Proceedings of the Eighth International Conference on Principles and Practice of Constraint Programming, September 2002, Ithaca, New York.
  
  
• N. Oliver, E. Horvitz, and A. Garg. Layered Representations for Recognizing Office Activity, Proceedings of the Fourth IEEE International Conference on Multimodal Interaction (ICMI 2002), October 2002, Pittsburgh, PA, pp.3-8
  
  
• C.M. Kadie, D. Hovel, and E. Horvitz. MSBNx: A Component-Centric Toolkit for Modeling and Inference with Bayesian Networks. Microsoft Research Technical Report MSR-TR-2001-67, July 2001.
  
  
• H. Kautz, E. Horvitz, Y. Ruan, C. Gomes, B. Selman. Dynamic Restart Policies. Proceedings of the Eighteenth National Conference on Artificial Intelligence, Edmonton, Alberta, July 2002. AAAI Press.
  
  
• E. Horvitz. Principles and Applications of Continual Computation, Artificial Intelligence Journal, 126:159-196, Elsevier Science, February 2001.
  
  
• E. Horvitz and S. Zilberstein, Computational Tradeoffs Under Bounded Resources, Artificial Intelligence Journal, 126:1-4, Elsevier Science, February 2001.
  
  
• E. Horvitz, Y. Ruan, C. Gomes, H. Kautz, B. Selman, D. M. Chickering. A Bayesian Approach to Tackling Hard Computational Problems. Proceedings of the Seventeenth Conference on Uncertainty and Artificial Intelligence, July 2001, pp. 235-244. Morgan Kaufmann Publishers: San Francisco.
  
  
• E. Horvitz. Principles of Mixed-Initiative User Interfaces. Proceedings of CHI '99, ACM SIGCHI Conference on Human Factors in Computing Systems, Pittsburgh, PA, May 1999.
  
  
• E. Horvitz, A. Jacobs, D. Hovel. Attention-Sensitive Alerting, Proceedings of UAI '99, Conference on Uncertainty and Artificial Intelligence, July 1999, Morgan Kaufmann Publishers: San Francisco. pp. 305-313.
  
  
• S. Srinivas and E. Horvitz. Exploiting System Hierarchy to Compute Repair Plans in Probabilistic Model-Based Diagnosis. Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence, August 1995.
  
  
• K. L. Poh and E. Horvitz. A Graph-Theoretic Analysis of Information Value. Proceedings of the Twelfth Conference on Uncertainty in Artificial Intelligence, August 1996.
  
  
• E. Horvitz. Models of Continual Computation. Proceedings of the Fourteenth National Conference on Artificial Intelligence, July 1997.
  
  
• E. Horvitz and A. Seiver. Time-Critical Action: Representations and Application. Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, August 1997.
  
  
• E. Horvitz. Continual Computation Policies for Utility-Directed Prefetching. Proceedings of the Seventh ACM Conference on Information and Knowledge Management, November 1998, pp. 175-184.
  
  
• E. Horvitz. Thinking Ahead: Continual Computation Policies for Allocating Offline and Real-Time Resources. Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, IJCAI '99, July 1999, Morgan Kaufmann Publishers: San Francisco, pp. 1280-1286.
  
  
• D. Heckerman, E. Horvitz, and B. Middleton, An approximate nonmyopic computation for value of information, IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 15 (1993), 3:292-298.
  
  
• E. Horvitz and J. Lengyel. Perception, Attention, and Resources: A Decision-Theoretic Approach to Graphics Rendering. Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, August 1997, Morgan Kaufman: San Francisco, pp. 238-249.
  
  
• P. Dagum, P., A. Galper, E. Horvitz, A. Seiver, Uncertain reasoning and forecasting, International Journal of Forecasting 11(1):73-87, March 1995.
  
  
• P. Dagum and E. J. Horvitz. Reformulating Inference Problems through Selective Conditioning, Proceedings of 1992 Conference on Uncertainty in Artificial Intelligence, Stanford, CA, July 1992 (a href="selective_conditioning_UAI_1992.pdf">pdf).
  
  
• E. Horvitz, J. Breese, D. Heckerman, D. Hovel, and K. Rommelse. The Lumiere Project: Bayesian User Modeling for Inferring the Goals and Needs of Software Users. Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, Madison, WI, July 1998, Morgan Kaufmann: San Francisco, pp. 256-265.
  
  
• B. Selman, R. Brooks, T. Dean, E. Horvitz, T. Mitchell, N. Nilsson. Challenge Problems for Artificial Intelligence. Proceedings of AAAI-96, Thirteenth National Conference on Artificial Intelligence, Portland, Oregon, August 1996. AAAI Press, Menlo Park, California, pp. 1340-1345.
  
  
• E. Horvitz and A. Klein. Studies of Theorem Proving under Limited Resources. Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence, August 1995.
  
  
• L. Burnell and E. Horvitz, Structure and Chance: Melding Logic and Probability for Software Debugging. Communications of the ACM, 38:3, March 1995, pp. 31-41, 1995.
  
  
• E. Horvitz and M Barry. Display of Information for Time-Critical Decision Making. Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence, August 1995 (pdf).
  
  
• A. Klein and E. Horvitz, Partial Proofs and Probability, Proceedings of DX-94: Fifth International Workshop on Principles of Diagnosis, New Paltz, NY, October 1994.
  
  
• K.L. Poh, M.R. Fehling, and E.J. Horvitz, Dynamic Construction and Refinement of Utility-Based Categorization Models, IEEE Transaction on Systems, Man, and Cybernetics, 24(11), 1653-1663, November 1994.
  
  
• E. Horvitz and A. Klein, Utility-Based Abstraction and Categorization. Proceedings of Ninth Conference on Uncertainty in Artificial Intelligence, Washington DC, July 1993. Morgan Kaufmann: San Francisco, pp. 128-135 (pdf).
  
  
• P. Dagum and E. Horvitz. A Bayesian Analysis of Simulation Algorithms for Inference in Belief Networks. Networks, 23:499-516, 1993.
  
  
• K.L. Poh and E. Horvitz. Reasoning about the Value of Decision Model Refinement: Methods and Application. Proceedings of Ninth Conference on Uncertainty in Artificial Intelligence, Washington DC, July 1993, Morgan Kaufmann: San Francisco, pp. 174-182.
  
  
• J. Breese, E. Horvitz, M. Peot, R. Gay, and G. Quentin, Automated Decision-Analytic Diagnosis of Thermal Performance in Gas Turbines, Proceedings of the International Gas Turbine and Aeroengine Congress and Exposition, Cologne, Germany, 1992.
  
  
• P. Dagum, A. Galper, and E. J. Horvitz. Dynamic Network Models for Forecasting, Proceedings of 1992 Conference on Uncertainty in Artificial Intelligence, Stanford, CA, July 1992 (pdf).
  
  
• E. Horvitz and G. Rutledge. Time-Dependent Utility and Action Under Uncertainty. Uncertainty in Artificial Intelligence, Los Angeles, pp. 151-158. Morgan Kaufman, 1991 (pdf).
  
  
• E. Horvitz, D. Heckerman, K. Ng, B. Nathwani, Heuristic Abstraction in the Decision-Theoretic Pathfinder System, Symposium on Computer Applications in Medical Care, Washington DC, IEEE Press: Silver Springs, MD, November 1989.
  
  
• J.S. Breese and E.J. Horvitz. Ideal Reformulation of Belief Networks , Proceedings of Sixth Conference on Uncertainty in Artificial Intelligence, Cambridge, MA, Association for Uncertainty in Artificial Intelligence, Mountain View, CA. July 1990, pp. 64-72 (pdf).
  
  
• D. E. Heckerman, E. J. Horvitz, and B. N. Nathwani. Toward Normative Expert Systems: Part I The Pathfinder Project. Methods of Information in Medicine, 31:90-105, 1992 (pdf).
  
  
• E. Horvitz. Computation and Action under Bounded Resources. PhD Dissertation, Stanford University, 1990 (pdf).
  
  
• D. Heckerman and E. Horvitz. Problem Formulation as the Reduction of a Decision Problem. Proceedings of the Conference on Uncertainty in Artificial Intelligence, Cambridge, MA July 1990, Association for Uncertainty and Artificial Intelligence, pp. 82-89.
  
  
• E.J. Horvitz, H.J. Suermondt, G.F. Cooper. Bounded conditioning: Flexible inference for decisions under scarce resources. In: Proceedings of Conference on Uncertainty in Artificial Intelligence, Windsor, ON. August 1989, pp. 182-193. Association for Uncertainty in Artificial Intelligence, Mountain View, CA.
  
  
• E. Horvitz. Research on Principles of Bounded Rationality. Proceedings of AAAI Symposium on Artificial Intelligence in Medicine, Stanford CA, March 1990.
  
  
• E.J. Horvitz, J.S. Breese, M. Henrion, Decision Theory in Expert Systems and Artificial Intelligence, Journal of Approximate Reasoning, Special Issue on Uncertainty in Artificial Intelligence, 2:247-302, 1988.
  
  
• E.J. Horvitz and J.S. Breese, Ideal Partition of Resources for Metareasoning. Stanford University Computer Science Department Technical Report KSL-90-26, February 1990.
  
  
• E. Horvitz, Some Fundamental Problems and Opportunities From the Standpoint of Rational Agency. Stanford University Computer Science Department Technical Report KSL-89-30, 1989 (pdf).
  
  
• E.J. Horvitz, Rational Metareasoning and Compilation for Optimizing Decisions Under Bounded Resources. Proceedings of Computational Intelligence '89, Milan, Italy, September 1989. Association for Computing Machinery.
  
  
• E.J. Horvitz, G.F. Cooper, D.E. Heckerman, Reflection and action under scarce resources: Theoretical principles and empirical study. Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, Detroit, MI. August 1989, pp. 1121-1127. International Joint Conference on Artificial Intelligence.
  
  
• D. Heckerman, J.S. Breese, E. Horvitz, The Compilation of Decision Models, Proceedings of the Conference on Uncertainty in Artificial Intelligence, Association for Uncertainty in Artificial Intelligence, July 1989, pages 162-173.
  
  
• E.J. Horvitz, Reasoning under varying and uncertain resource constraints. Proceedings of the Seventh National Conference on Artificial Intelligence, Minneapolis, MN. August 1988. pp, 111-116. Morgan Kaufmann, San Mateo, CA.
  
  
• G. Cooper, E. Horvitz, R. Curry, Conceptual Design of Goal Understanding Systems: Investigation of Temporal Reasoning Under Uncertainty, Technical Memorandum NAS2-12381, NASA-Ames Research Center, Mountain View, CA, Feburary 1988.
  
  
• G.F. Cooper, E.J. Horvitz, D.E. Heckerman, A Method for Temporal Probabilistic Reasoning, Technical Report 88-30. Knowledge Systems Laboratory, Stanford University, July 1988.
  
  
• E.J. Horvitz, Problem-Solving Design: Reasoning about Computational Value, Tradeoffs, and Resources. Proceedings of the NASA Artificial Intelligence Forum, Palo Alto, CA, October 1987, pp. 26-43. National Aeronautics And Space Administration: Mountain View, CA.
  
  
• E. Horvitz, D.E. Heckerman, and C.P. Langlotz. A Framework for Comparing Alternative Formalisms for Plausible Reasoning. Proceeedings of AAAI-86, National Conference on Artificial Intelligence, Morgan Kaufmann, Philadelphia, Morgan Kaufmann, July 1986, pp. 210-214 (pdf).
  
  
• D.E. Heckerman and E.J. Horvitz. The Myth of Modularity in Rule-Based Systems for Reasoning with Uncertainty, Proceedings of UAI-86, Conference on Uncertainty in Artificial Intelligence, Philadelphia, July 1986 (pdf).
  
  
• D.E. Heckerman and E.J. Horvitz, On the Expressiveness of Rule-Based Systems for Reasoning with Uncertainty, Proceedings of AAAI-87, National Conference on Artificial Intelligence, Seattle, WA, Morgan Kaufmann, July 1987, pp. 121-126.
  
  
• E. Horvitz, Reasoning about Beliefs and Actions under Computational Resource Constraints, Proceedings of the Third Conference on Uncertainty in Artificial Intelligence, Seattle, Washington. July 1987. Association for Uncertainty and Artificial Intelligence. pp. 429-444. Also in L. Kanal, et al. ed., Uncertainty in Artificial Intelligence 3, Elsevier, 1989, pp. 301-324.
  
  
• E.J. Horvitz, Toward a Science of Expert Systems, In: Proceedings of the 18th Symposium on the Interface of Statistics and Computer Science, Fort Collins, Colorado, March 1986, Thomas J. Boardman, Editor, American Statistical Association: Washington, D.C., pp. 45-52 (pdf).
  
  LI> E. Horvitz, D. Heckerman, B. Nathwani, L.M. Fagan, The use of a heuristic problem-solving hierarchy to facilitate the explanation of hypothesis-directed reasoning, October 1986, In: Proceedings of Medinfo, Washington, DC, North Holland: New York, pp. 27-31 (pdf).
  
  
• E.J. Horvitz and D.E. Heckerman, The Inconsistent Use of Measures of Certainty in Artificial Intelligence Research, Proceedings of UAI-86, Conference on Uncertainty in Artificial Intelligence, Philadelphia, July 1986.
  
  
• E.J. Horvitz, D.E. Heckerman, B.N. Nathwani, L.M. Fagan, Diagnostic Strategies in the Hypothesis-Directed Pathfinder System, In: Proceedings of the First Conference on Artificial Intelligence Applications, Denver, Colorado, December 1984. IEEE Computer Society, Computer Society Press, pp. 630-636 (pdf).
  
  

Machine Learning

• E. Kamar, A. Kapoor, and E. Horvitz. Lifelong Learning for Acquiring the Wisdom of the Crowd, IJCAI 2013, Beijing, China, August 2013.
  
  
• J. Wiens, J. Guttag, E. Horvitz. Patient Risk Stratification for Hospital-Associated C. Diff as a Time-Series Classification Task, NIPS 2012, Lake Tahole, CA, December 2012.
  
  
• K. Radinsky and E. Horvitz. Mining the Web to Predict Future Events, WSDM 2013, Rome, February 2013.
  
  
• E. Kamar, A. Kapoor, and E. Horvitz. Adaptive Control for Acquiring the Wisdom of the Crowd, IJCAI 2013, Beijing, China, August 2013.
  
  
• H. Zhang, E. Horvitz, D. Parkes. Automated Workflow Synthesis, AAAI 2013, Bellevue, Washington, July 2013.
  
  
• M. De Choudhury, S. Counts, E. Horvitz. Predicting Postpartum Changes in Emotion and Behavior via Social Media, CHI 2013, April 2013, Paris, France.
  
  
• X. Chen, P.N. Bennett, K. Collins-Thompson, E. Horvitz. Pairwise Ranking Aggregation in a Crowdsourced Setting, WSDM 2013, Rome, February 2013.
  
  
• K. Radinsky and E. Horvitz. Mining the Web to Predict Future Events, WSDM 2013, Rome, February 2013.
  
  
• A. Kapoor, B. Lee, D. Tan, E. Horvitz. Learning to Learn: Algorithmic Inspirations from Human Problem Solving, AAAI 2012, Toronto, July 2012.
  
  
• A. Kapoor, B. Lee, D. Tan, E. Horvitz. Performance and Preferences: Interactive Refinement of Machine Learning Procedures, AAAI 2012, Toronto, July 2012.
  
  
• K. Radinsky and E. Horvitz. Mining the Web to Predict Future Events, WSDM 2013, Rome, Italy, February 2013.
  
  
• K. Radinsky, K. Svore, S. Dumais, J. Teevan, A. Bocharov, E. Horvitz. Modeling and Predicting Behavioral Dynamics on the Web, WWW 2012, Lyon, France, April 2012.
  
  
• J. Wiens, J. Guttag, E. Horvitz. Learning Evolving Patient Risk Processes for C. Diff Colonization, Machine Learning for Clinical Data Analysis, ICML 2012, Edinburgh, Scotland, June 2012.
  
  
• A. Kapoor and E. Horvitz. Breaking Boundaries: Active Information Acquisition Across Learning and Diagnosis, NIPS 2009, Vancouver, BC, December 2009.
  
  
• E. Horvitz and T. Mitchell, From Data to Knowledge to Action: A Global Enabler for the 21st Century, Data Analytic Series, Computing Community Consortium, Computing Research Association (CRA), June 2010.
  
  
• A. Kapoor, B. Lee, D. Tan, E. Horvitz. Interactive Optimization for Steering Classification, Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), Atlanta, GA, April 2010.
  
  
• A. Kapoor, N. Eagle, E. Horvitz. People, Quakes, and Communications: Inferences from Call Dynamics about a Seismic Event and its Influences on a Population. Proceedings of AAAI Symposium on Artificial Intelligence for Development, Stanford CA, March 2010.
  
  
• D. Downey, S. Dumais, D. Leibling, E. Horvitz. Understanding the Relationship between Searchers’ Queries and Information Goals, Proceedings of CIKM 2008, 17th Conference on Information and Knowledge Management, Napa, California, October 2008.
  
  
• A. Kapoor, D. Tan, P. Shenoy, E. Horvitz. Complementary Computing for Visual Tasks: Meshing Computer Vision with Human Visual Processing, IEEE International Conference on Automatic Face and Gesture Recognition.
  
  
• A. Krause, E. Horvitz, A. Kansal, F. Zhao. Toward Community Sensing, Proceedings of IPSN 2008, International Conference on Information Processing in Sensor Networks, St. Louis, Missouri, April 2008.
  
  
• A. Kapoor and E. Horvitz. Experience Sampling for Building Predictive User Models: A Comparative Study, Proceedings of CHI 2008, Florence, Italy, April 2008.
  
  
• J. Leskovec, S. Dumais, E. Horvitz. Web Projections: Learning from Contextual Subgraphs of the Web, Proceedings of World Wide Web 2007, Banff, Canada, May 2007.
  
  
• A. Kapoor and E. Horvitz. On Discarding, Caching, and Recalling Samples in Active Learning, Proceedings of the Conference on Uncertainty and Artificial Intelligence 2007, AUAI Press, July 2007.
  
  
• A. Kapoor, E. Horvitz, and S. Basu. Selective Supervision: Guiding Supervised Learning with Decision-Theoretic Active Learning, Proceedings of International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, January 2007.
  
  
• D. Downey, S. Dumais, and E. Horvitz. Models of Searching and Browsing: Languages, Studies, and Applications, Proceedings of International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, January 2007.
  
  
• E. Horvitz and T. Paek. Complementary Computing: Policies for Transferring Callers from Dialog Systems to Human Receptionists. User Modeling and User Adapted Interaction 17 (2007).
  
  
• E Horvitz. Machine Learning, Reasoning, and Intelligence in Daily Life: Directions and Challenges (Invited talk), Proceedings of Artificial Intelligence Techniques for Ambient Intelligence, Hyderabad, India, January 2007.
  
  
• A. Kapoor and E. Horvitz. Principles of Lifelong Learning for Predictive User Modeling. Proceedings of the Eleventh Conference on User Modeling (UM 2005), June 2007, Corfu, Greece.
  
  
• F. Bach, D. Heckerman, E. Horvitz. Considering Cost Asymmetry in Learning Classifiers. Journal of Machine Learning Research, 7 (2006) 1713–1741.
  
  E. Horvitz, J. Apacible, R. Sarin, and L. Liao. Prediction, Expectation, and Surprise: Methods, Designs, and Study of a Deployed Traffic Forecasting Service, Proceedings of the Conference on Uncertainty and Artificial Intelligence 2005,, AUAI Press, July 2005.
  
  
• F. Bach, D. Heckerman, and E. Horvitz. On the Path to an Ideal ROC Curve: Considering Cost Asymmetry in Learning Classifiers. Proceedings of Artificial Intelligence and Statistics 2005, January, 2005.
  
  
• E. Horvitz, J. Apacible, and P. Koch. BusyBody: Creating and Fielding Personalized Models of the Cost of Interruption, Proceedings of CSCW, Conference on Computer Supported Cooperative Work, ACM Press, November 2004.
  
  
• E. Horvitz and J. Apacible. Learning and Reasoning about Interruption. Proceedings of the Fifth ACM International Conference on Multimodal Interfaces, November 2003, Vancouver, BC, Canada.
  
  
• N. Oliver and E. Horvitz. A Comparison of HMMs and Dynamic Bayesian Networks for Recognizing Office Activities. Proceedings of the Tenth Conference on User Modeling (UM 2005), July 2005, Edinburgh, Scotland.
  
  
• E. Horvitz, P. Koch, R. Sarin, J. Apacible, M. Subramani. Bayesphone: Context-Sensitive Policies for Inquiry and Action in Mobile Devices. Proceedings of the Tenth Conference on User Modeling (UM 2005), July 2005, Edinburgh, Scotland.
  
  
• A. Youssef, J. Krumm, E. Miller, G. Cermak, E. Horvitz, Computing Location from Ambient FM Radio Signals, Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC 2005), March 2005.
  
  
• T. Paek and E. Horvitz. Optimizing Automated Call Routing by Integrating Spoken Dialog Models with Queuing Models, HLT 2004: Human Language Technology Conference, May 2004.
  
  
• D. Azari, E. Horvitz, S. Dumais, E. Brill. Actions, Answers, and Uncertainty: A Decision Making Perspective on Web-Based Question Asking , Information Processing and Management, 40(5), 2004, pp. 849-868.
  
  
• E. Horvitz, S. Dumais, P. Koch. Learning Predictive Models of Memory Landmarks, CogSci 2004: 26th Annual Meeting of the Cognitive Science Society, Chicago, August 2004.
  
  
• J. Krumm and E. Horvitz, LOCADIO: Inferring Motion and Location from Wi-Fi Signal Strengths, Proceedings of the Mobiquitous 2004, Boston, MA..
  
  
• N. Oliver, A. Garg, and Eric Horvitz. Layered Representations for Learning and Inferring Office Activity from Multiple Sensory Channels, Computer Vision and Image Understanding (CVIU), 96(2004), pp. 163-180.
  
  
• N. Oliver and E. Horvitz. Selective Perception Policies for Guiding Sensing and Computation in Multimodal Systems: A Comparative Analysis. Lectures Notes in Computer Science. Springer Verlag. January 2005.
  
  
• Y. Ruan, E. Horvitz, H. Kautz. Hardness-Aware Restart Policies. IJCAI-03 Workshop on Stochastic Search Algorithms, August 2003, Acapulco, Mexico.
  
  
• P. N. Bennett, S. T. Dumais, E. Horvitz. Inductive Transfer for Text Classification using Generalized Reliability Indicators, Proceedings of the ICML-2003 Workshop on The Continuum from Labeled to Unlabeled Data, Washington DC, August 2003.
  
  
• P. N. Bennett, S. T. Dumais, and E. Horvitz. The Combination of Text Classifiers using Reliability Indicators. Information Retrieval.
  
  
• J. Krumm, G. Cermak, E. Horvitz. RightSPOT: A Novel Sense of Location for a Smart Personal Object, In Proceedings of Ubicomp 2003, Seattle, WA, pp. 36-43.
  
  
• U. Nodelman and E. Horvitz, Continuous Time Bayesian Networks for Inferring Users’ Presence and Activities with Extensions for Modeling and Evaluation, Microsoft Research Technical Report MSR-TR-2003-97, December 2003.
  
  
• D. Azari, E. Horvitz, S. Dumais, E. Brill. A Decision Making Perspective on Web Question Answering, Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence, Acapulco, Mexico, August 2003.
  
  
• Y. Ruan, E. Horvitz, H. Kautz, Restart Policies with Dependence among Runs: A Dynamic Programming Approach, In Proceedings of the Eighth International Conference on Principles and Practice of Constraint Programming, September 2002, Ithaca, New York.
  
  
• N. Oliver, E. Horvitz, and A. Garg. Layered Representations for Recognizing Office Activity, Proceedings of the Fourth IEEE International Conference on Multimodal Interaction (ICMI 2002), October 2002, Pittsburgh, PA, pp.3-8
  
  
• P. N. Bennett, S. T. Dumais, and E. Horvitz. Probabilistic Combination of Text Classifiers Using Reliability Indicators: Models and Results. In: Proceedings of 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Tampere, Finland, August 2002.
  
  
• E. Horvitz, P. Koch, C.M. Kadie, and A. Jacobs. Coordinate: Probabilistic Forecasting of Presence and Availability.Proceedings of UAI '02, Proceedings of the Eighteenth Conference on Uncertainty and Artificial Intelligence, Edmonton, Canada, July 2002, pp. 224-233.
  
  
• C. R. Anderson and E. Horvitz. Web Montage: A Dynamic Personalized Start Page, Eleventh Inernational World Wide Web Conference, Honolulu, Hawaii, May 2002.
  
  
• N. Oliver, E. Horvitz, and A. Garg. Hierarchical Representations for Learning and Inferring Office Activity from Multimodal Information, Proceedings of the IEEE Workshop on Cues in Communication, in conjunction with CVPR'01, Kuai, Hawaii, December 2001.
  
  
• E. Horvitz, Y. Ruan, C. Gomes, H. Kautz, B. Selman, D. M. Chickering. A Bayesian Approach to Tackling Hard Computational Problems. Proceedings of the Seventeenth Conference on Uncertainty and Artificial Intelligence, July 2001, pp. 235-244. Morgan Kaufmann Publishers: San Francisco.
  
  
• I. Zukerman and E. Horvitz. Using Machine Learning Techniques to Interpret WH-questions. Proceedings of Association for Computational Linguistics (ACL-2001), Toulouse, France, July 2001.
  
  
• I. Zukerman and E. Horvitz, Toward Understanding WH-Questions: A Statistical Analysis. Workshop on Machine Learning, Information Retrieval, and User Modeling, Sonthofen, Germany, July 2001.
  
  
• D. M. Pennock, E. Horvitz, S. Lawrence, and C. L. Giles. Collaborative filtering by personality diagnosis: A hybrid memory-and model-based approach, In: Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence UAI-2000), Stanford, CA, June 2000.



• E. Horvitz. Principles of Mixed-Initiative User Interfaces. Proceedings of CHI '99, ACM SIGCHI Conference on Human Factors in Computing Systems, Pittsburgh, PA, May 1999.
  
  
• E. Horvitz, A. Jacobs, D. Hovel. Attention-Sensitive Alerting, Proceedings of UAI '99, Conference on Uncertainty and Artificial Intelligence, July 1999, Morgan Kaufmann Publishers: San Francisco. pp. 305-313.
  
  
• K. Toyama and E. Horvitz. Bayesian Modality Fusion: Probabilistic Integration of Multiple Vision Algorithms for Head Tracking. Proceedings of ACCV 2000, Fourth Asian Conference on Computer Vision, January 2000.
  
  
• David M. Pennock, Pedrito Maynard-Reid II, C. Lee Giles, and Eric Horvitz. A normative examination of ensemble learning algorithms (postscript), In: Proceedings of the 17th International Conference on Machine Learning (ICML-2000), Stanford, CA, June 2000, Morgan-Kaufmann, pp. 735-742.



• David M. Pennock, Eric Horvitz, and C. Lee Giles. Social choice theory and recommender systems: Analysis of the axiomatic foundations of collaborative filtering (postscript), to appear in Proceedings of the 17th National Conference on Artificial Intelligence (AAAI-2000), Austin, TX, July 2000.
  
  
• D.M. Pennock and E. Horvitz. Analysis of the Axiomatic Foundations of Collaborative Filtering, AAAI Workshop on Artificial Intelligence for Electronic Commerce, National Conference on Artificial Intelligence (AAAI-99), July 1999, Orlando, Florida.
  
  
• D.M. Pennock and E. Horvitz. Collaborative Filtering by Personality Diagnosis: A Hybrid Memory- and Model-Based Approach, IJCAI Workshop on Machine Learning for Information Filtering, International Joint Conference on Artificial Intelligence (IJCAI-99), August 1999, Stockholm, Sweden.
  
  
• M. Sahami, S. Dumais, D. Heckerman, and E. Horvitz. A Bayesian approach to filtering junk e-mail. AAAI Workshop on Learning for Text Categorization, July 1998, Madison, Wisconsin.
  
  
• B. Selman, R. Brooks, T. Dean, E. Horvitz, T. Mitchell, N. Nilsson. Challenge Problems for Artificial Intelligence. Proceedings of AAAI-96, Thirteenth National Conference on Artificial Intelligence, Portland, Oregon, August 1996. AAAI Press, Menlo Park, California, pp. 1340-1345.
  
  

Search and retrieval

• R.W. White, N.P. Tatonetti, N. H. Shah, R.B. Altman, E. Horvitz. Web-Scale Pharmacovigilance: Listening to Signals from the Crowd. JAMIA, March 2013.
  
  
• S. Yang, R. White, E. Horvitz. Pursuing Insights about Healthcare Utilization via Geocoded Search Queries, SIGIR 2013, Dublin, Ireland, July 2013.
  
  
• R. West, R. White, E. Horvitz. Goals, Activities, and Predictions about Location from Geotagged Queries, SIGIR 2013, Dublin, Ireland, July 2013.
  
  
• Ryen W. White and E. Horvitz. Captions and Biases in Diagnostic Search, ACM Transactions on the Web (ACM TWEB), 2013, in press.
  
  
• Ryen W. White and E. Horvitz. From Health Search to Health Care: Explorations of Intention and Utilization via Query Logs and User Surveys, Journal of the American Medical Informatics Association (JAMIA), 2013, in press.
  
  
• K. Radinsky and E. Horvitz. Mining the Web to Predict Future Events, WSDM 2013, Rome, February 2013.
  
  
• D. Shahaf, C. Guestrin, E. Horvitz. Metro Maps for Science, KDD 2012, August 2012, Beijing, China.
  
  
• K. Radinsky, K. Svore, S. Dumais, J. Teevan, A. Bocharov, E. Horvitz. Modeling and Predicting Behavioral Dynamics on the Web, WWW 2012, Lyon, France, April 2012.
  
  
• D. Shahaf, C. Guestrin, E. Horvitz. Trains of Thought: Generating Information Maps, WWW 2012, Lyon, France, April 2012.
  
  
• M. Bernstein, J. Teevan, S.T. Dumais, D. Liebling, and E. Horvitz. Direct answers for search queries in the long tail. Proceedings of CHI 2012, Austin,TX, April 2012.
  
  
• A. Krause and E. Horvitz. A Utility-theoretic Approach to Privacy in Online Services, Journal of Artificial Intelligence Research, 39 (2010) 633-662.
  
  
• R. White and E. Horvitz. Studies of the Onset and Persistence of Medical Concerns in Search Logs, SIGIR 2012, Portland, OR, August 2012.
  
  
• R.W. White and E. Horvitz. From Web Search to Healthcare Utilization: Privacy-Sensitive Studies from Mobile Data, JAMIA: Journal of the American Medical Informatics Association, June 2012, doi:10.1136/amiajnl-2011-000765.
  
  
• E. Law, P.N. Bennett, and E. Horvitz. The Effects of Choice in Routing Relevance Judgments, SIGIR 2011, Beijing, China, July 2011.
  
  
• M. Cartright, R.W. White, and E. Horvitz. Intentions and Attention in Exploratory Health Search, SIGIR 2011, Beijing, China, July 2011.
  
  
• R. White and E. Horvitz. Predicting Escalations of Medical Queries Based on Web Page Structure and Content, SIGIR 2010, Geneva, Switzerland, July 2010.
  
  
• J. Teevan, S.T. Dumais, E. Horvitz. Potential for Personalization, ACM Transactions on Computer-Human Interaction, March 2010.
  
  
• R. White and E. Horvitz. Web to World: Predicting Transitions from Self-Diagnosis to the Pursuit of Local Medical Assistance in Web Search, AMIA 2010, Washington DC, November 2010.
  
  
• R.W. White and E. Horvitz. Experiences with Web Search on Medical Concerns and Self Diagnosis. Proceedings of AMIA 2009. San Francisco, CA, November 2009.
  
  
• D. Downey, S. Dumais, D. Leibling, E. Horvitz. Understanding the Relationship between Searchers’ Queries and Information Goals, Proceedings of CIKM 2008, 17th Conference on Information and Knowledge Management, Napa, California, October 2008.
  
  
• R.W. White and E. Horvitz. Cyberchondria: Studies of the Escalation of Medical Concerns in Web Search. ACM Transactions on Information Systems, 27(4), Article 23, November 2009, DOI 101145/1629096.1629101. Also Microsoft Research Technical Report MSR-TR-2008-178, November 2008.
  
  
• J. Leskovec, S. Dumais, E. Horvitz. Web Projections: Learning from Contextual Subgraphs of the Web, Proceedings of World Wide Web 2007, Banff, Canada, May 2007.
  
  
• D. Downey, S. Dumais, and E. Horvitz. Models of Searching and Browsing: Languages, Studies, and Applications, Proceedings of International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, January 2007.
  
  
• D. Downey, S. Dumais, and E. Horvitz. Heads and Tails: Studies of Web Search with Common and Rare Queries, Proceedings of SIGIR 2007, ACM Press, August 2007.
  
  
• J. Teevan, S. Dumais, and E. Horvitz. Characterizing the Value of Personalizing Search, Proceedings of SIGIR 2007, ACM Press, August 2007.
  
  
• J. Teevan, S. T. Dumais, and E. Horvitz, Personalizing Search via Automated Analysis of Interests and Activities, Proceedings of SIGIR 2005, ACM Press, August 2005.
  
  
• J. Teevan, S.T. Dumais and E. Horvitz. Beyond the Commons: Investigating the Value of Personalizing Web Search. Proceedings of Workshop on New Technologies for Personalized Information Access (PIA '05), Edinburgh, Scotland, UK, July 2005.
  
  
• E. Gabrilovich, S. Dumais, E. Horvitz, Newsjunkie: Providing Personalized Newsfeeds via Analysis of Information Novelty, Proceedings of the Thirteenth International World Wide Web Conference (WWW 2004), May 2004, New York, pp. 482-490.
  
  
• X. Shen, S. Dumais, E. Horvitz, Analysis of Topic Dynamics in Web Search, Proceedings of the Fourteenth International World Wide Web Conference(WWW 2005), May 2005.
  
  
• Susan Dumais, Edward Cutrell, Raman Sarin, Eric Horvitz. Implicit queries (IQ) for contextualized search, Proceedings of the 27th annual international conference on Research and development in information retrieval, August 2004.
  
  
• D. Azari, E. Horvitz, S. Dumais, E. Brill. Actions, Answers, and Uncertainty: A Decision Making Perspective on Web-Based Question Asking , Information Processing and Management, 40(5), 2004, pp. 849-868.
  
  
• E. Horvitz, S. Dumais, P. Koch. Learning Predictive Models of Memory Landmarks, CogSci 2004: 26th Annual Meeting of the Cognitive Science Society, Chicago, August 2004.
  
  
• E. Horvitz, A Curse of Riches or a Blessing? Information Access and Awareness under Scarce Cognitive Resources, Keynote abstract, Adaptive Hypermedia 2004, Eindhoven, Netherlands, August 2004.
  
  
• P. N. Bennett, S. T. Dumais, E. Horvitz. Inductive Transfer for Text Classification using Generalized Reliability Indicators, Proceedings of the ICML-2003 Workshop on The Continuum from Labeled to Unlabeled Data, Washington DC, August 2003.
  
  
• D. Azari, E. Horvitz, S. Dumais, E. Brill. A Decision Making Perspective on Web Question Answering, Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence, Acapulco, Mexico, August 2003.
  
  
• P. N. Bennett, S. T. Dumais, and E. Horvitz. The Combination of Text Classifiers using Reliability Indicators. Information Retrieval.
  
  
• P. N. Bennett, S. T. Dumais, and E. Horvitz. Probabilistic Combination of Text Classifiers Using Reliability Indicators: Models and Results. In: Proceedings of 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Tampere, Finland, August 2002.
  
  
• C. R. Anderson and E. Horvitz. Web Montage: A Dynamic Personalized Start Page, Eleventh Inernational World Wide Web Conference, Honolulu, Hawaii, May 2002.
  
  
• I. Zukerman and E. Horvitz. Using Machine Learning Techniques to Interpret WH-questions. Proceedings of Association for Computational Linguistics (ACL-2001), Toulouse, France, July 2001.
  
  
• I. Zukerman and E. Horvitz, Toward Understanding WH-Questions: A Statistical Analysis. Workshop on Machine Learning, Information Retrieval, and User Modeling, Sonthofen, Germany, July 2001.
  
  
• T. Lau and E. Horvitz, Patterns of Search: Analyzing and Modeling Web Query Refinement. Proceedings of the Seventh International Conference on User Modeling, Banff, Canada, June 1999. New York: Springer Wien.
  
  
• D. Heckerman and E. Horvitz. Inferring Informational Goals from Free-Text Queries. Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, Madison, WI, July 1998, Morgan Kaufmann: San Francisco, pp. 230-237.

Biomedical informatics

• J. Wiens, J. Guttag, E. Horvitz. Patient Risk Stratification for Hospital-Associated C. Diff as a Time-Series Classification Task, NIPS 2012, Lake Tahole, CA, December 2012.
  
  R.W. White, N.P. Tatonetti, N. H. Shah, R.B. Altman, E. Horvitz. Web-Scale Pharmacovigilance: Listening to Signals from the Crowd. JAMIA, March 2013.
  
  
• J. Wiens, J. Guttag, E. Horvitz. Learning Evolving Patient Risk Processes for C. Diff Colonization, Machine Learning for Clinical Data Analysis, ICML 2012, Edinburgh, Scotland, June 2012.
  
  
• R. White and E. Horvitz. Studies of the Onset and Persistence of Medical Concerns in Search Logs, SIGIR 2012, Portland, OR, August 2012.
  
  
• M. De Choudhury, M. Gamon, S. Counts, E. Horvitz. Predicting Depression via Social Media, ICWSM 2013, Boston, MA, July 2013.
  
  
• R. West, R.W. White, E. Horvitz, From Cookies to Cooks: Insights on Dietary Patterns via Analysis of Web Usage Logs, WWW 2013, Rio de Janeiro, Brazil, May 2013.
  
  
• M. De Choudhury, S. Counts, E. Horvitz. Social Media as a Measurement Tool of Depression in Populations, WebSci 2013, May 2013, Paris, France.
  
  
• Ryen W. White and E. Horvitz. Captions and Biases in Diagnostic Search, ACM Transactions on the Web (ACM TWEB), 2013, in press.
  
  
• Ryen W. White and E. Horvitz. From Health Search to Health Care: Explorations of Intention and Utilization via Query Logs and User Surveys, Journal of the American Medical Informatics Association (JAMIA), 2013, in press.
  
  
• M. De Choudhury, S. Counts, E. Horvitz. Predicting Postpartum Changes in Emotion and Behavior via Social Media, CHI 2013, April 2013, Paris, France.
  
  
• R.W. White and E. Horvitz. From Web Search to Healthcare Utilization: Privacy-Sensitive Studies from Mobile Data, JAMIA: Journal of the American Medical Informatics Association, June 2012, doi:10.1136/amiajnl-2011-000765.
  
  
• M. Cartright, R.W. White, and E. Horvitz. Intentions and Attention in Exploratory Health Search, SIGIR 2011, Beijing, China, July 2011.
  
  
• R. White and E. Horvitz. Predicting Escalations of Medical Queries Based on Web Page Structure and Content, SIGIR 2010, Geneva, Switzerland, July 2010.
  
  
• R. White and E. Horvitz. Web to World: Predicting Transitions from Self-Diagnosis to the Pursuit of Local Medical Assistance in Web Search, AMIA 2010, Washington DC, November 2010.
  
  
• L.G. Wilcox, D. Morris, D. Tan, J. Gatewood, E. Horvitz, Characterizing Patient-Friendly “Micro-Explanations” of Medical Events, Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), Vancouver BC, May 2011.
  
  
• L.G. Wilcox, J. Gatewood, D. Morris, D.S. Tan, S. Feiner, E. Horvitz. Physician Attitudes about Patient-Facing Information Displays at an Urban Emergency Department, AMIA 2010, Washington DC, November 2010.
  
  
• J. Benaloh, M. Chase, E. Horvitz, K. Lauter. Patient Controlled Encryption: Ensuring Privacy in Electronic Medical Records, ACM CCSW 2009, Chicago, IL, November, 2009.
  
  
• E. Horvitz. From Data to Predictions and Decisions: Enabling Evidence-Based Healthcare, Data Analytic Series, Computing Community Consortium, Computing Research Association (CRA), September 2010. Also, Microsoft Research Technical Report MSR-TR-2010-152, September 2010.
  
  
• S. Graham, D. Estrin, E. Horvitz, I. Kohane, E. Mynatt, I. Sim. Information Technology Research Challenges for Healthcare: From Discovery to Delivery, Computing Community Consortium Whitepaper Series, Computing Research Association (CRA), May 2010.
  
  
• R.W. White and E. Horvitz. Experiences with Web Search on Medical Concerns and Self Diagnosis. Proceedings of AMIA 2009. San Francisco, CA, November 2009.
  
  
• R.W. White and E. Horvitz. Cyberchondria: Studies of the Escalation of Medical Concerns in Web Search. ACM Transactions on Information Systems, 27(4), Article 23, November 2009, DOI 101145/1629096.1629101. Also Microsoft Research Technical Report MSR-TR-2008-178, November 2008.
  
  
• E. Horvitz and A. Seiver. Time-Critical Action: Representations and Application. Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, August 1997.
  
  
• E. Horvitz. Advanced Information Technologies of the Future. Critical Care Symposium 1999: Proceedings of the 28th Educational & Scientific Symposium of the Society for Critical Care Medicine, January 1999, pp. 331-333.
  
  
• E. Horvitz and M. Shwe, Handsfree Decision Support: Toward a Non-invasive Human-Computer Interface, Nineteenth Annual Symposium on Computer Applications in Medical Care. Toward Cost-Effective Clinical Computing, November 1995. View photo and videos of early prototype.
  
  
• E. Horvitz, Automated Reasoning for Biology and Medicine, In R. Fortuner, ed., Advances in Computer Methods for Systematic Biology: Artificial Intelligence, Databases, and Computer Vision, Johns Hopkins University Press: Baltimore, 1993.
  
  
• E. Horvitz. Innovations at the Human—Computer Interface: A Medical-Informatics Perspective, In Proceedings of MMVR I, Medicine Meets Virtual Reality I, San Diego, June 1992.
  
  
• E. Horvitz and G. Rutledge. Time-Dependent Utility and Action Under Uncertainty. Uncertainty in Artificial Intelligence, Los Angeles, pp. 151-158. Morgan Kaufman, 1991 (pdf).
  
  
• E. Horvitz, D. Heckerman, K. Ng, B. Nathwani, Heuristic Abstraction in the Decision-Theoretic Pathfinder System, Symposium on Computer Applications in Medical Care, Washington DC, IEEE Press: Silver Springs, MD, November 1989.
  
  
• D. Heckerman, E. Horvitz, and B. Nathwani. Update on the Pathfinder project, Symposium on Computer Applications in Medical Care, Washington DC, IEEE Press: Silver Springs, MD, November 1989.
  
  
• B.N. Nathwani, D.E. Heckerman, E.J. Horvitz, T.L. Lincoln. Integrated expert systems and videodisc in surgical pathology: An overview. Human Pathology 1990, 21:11-27.
  
  
• D. E. Heckerman, E. J. Horvitz, and B. N. Nathwani. Toward Normative Expert Systems: Part I The Pathfinder Project. Methods of Information in Medicine, 31:90-105, 1992 (pdf).
  
  
• M.A. Shwe, B. Middleton, D.E. Heckerman, M. Henrion, F.J. Horvitz, H.P.Lehmann, and G.E. Cooper. Probabilistic Diagnosis Using a Reformulation of the Internist-1/QMR Knowledge Base. I. The probabilistic Model and Inference Algorithms. Methods of Information in Medicine, Vol. 30, pp. 241-255, 1991. (pdf). Also in, Stanford University Computer Science Department Technical Report KSL-90-09, 1990.
  
  
• B. Middleton, M.A. Shwe, D.E. Heckerman, M. Henrion, E.J.Horvitz, H.P. Lehmann, and G.E. Cooper. Probabilistic Diagnosis Using a Reformulation of the Internist-1/QMR Knowledge Base. II. Evaluation of Diagnostic Performance. Methods of Information in Medicine, Vol. 30, pp. 256-267, 1991 (pdf). Also, Stanford University Computer Science Department Technical Report KSL-90-68, 1990. Download report.
  
  
• E.J. Horvitz, Toward a Science of Expert Systems, In: Proceedings of the 18th Symposium on the Interface of Statistics and Computer Science, Fort Collins, Colorado, March 1986, Thomas J. Boardman, Editor, American Statistical Association: Washington, D.C., pp. 45-52 (pdf).
  
  LI> E. Horvitz, D. Heckerman, B. Nathwani, L.M. Fagan, The use of a heuristic problem-solving hierarchy to facilitate the explanation of hypothesis-directed reasoning, October 1986, In: Proceedings of Medinfo, Washington, DC, North Holland: New York, pp. 27-31 (pdf).
  
  
• E.J. Horvitz, D.E. Heckerman, B.N. Nathwani, L.M. Fagan, Diagnostic Strategies in the Hypothesis-Directed Pathfinder System, In: Proceedings of the First Conference on Artificial Intelligence Applications, Denver, Colorado, December 1984. IEEE Computer Society, Computer Society Press, pp. 630-636 (pdf).
  
  

Dialog and interaction

• S. Rosenthal, D. Bohus, E. Kamar, E. Horvitz. Look versus Leap: Computing Value of Information with High-Dimensional Streaming Evidence, IJCAI 2013, Beijing, China, August 2013.
  
  
• W. Wang, D. Bohus, E. Kamar, E. Horvitz. Crowdsourcing the Acquisition of Natural Language Corpora: Methods and Observations, SLT 2012 - IEEE Spoken Language Technologies, Miami, FA, December 2012.
  
  
• S. Rosenthal, S. Skaff, M. Veloso, D. Bohus, E. Horvitz. Execution Memory for Grounding and Coordination. Human Robot Interaction, HRI 2013, Tokyo, Japan, March 2013.
  
  
• D. Bohus, E. Kamar, E. Horvitz. Towards Situated Collaboration, NAACL 2012, Montreal, Canada, June 2012.
  
  
• D. Bohus and E. Horvitz. Decisions about Turns in Multiparty Conversation: From Perception to Action, ICMI 2011: International Conference on Multimodal Interaction, Alicante, Spain, November, 2011.
  
  
• D. Bohus and E. Horvitz. Multiparty Turn Taking in Situated Dialog: Study, Lessons, and Directions, SIGDIAL 2011: Meeting on Discourse and Dialogue, Portland, OR, June, 2011.
  
  
• D. Bohus and E. Horvitz. Facilitating Multiparty Dialog with Gaze, Gesture, and Speech, ICMI-MLMI 2010: International Conference on Multimodal Interaction, Beijing, China, November, 2010.
  
  
• D. Bohus and E. Horvitz. On the Challenges and Opportunities of Physically Situated Dialog, Dialog with Robots, AAAI Fall Symposium, Arlington, VA, November, 2010.
  
  
• D. Bohus and E. Horvitz. Models for Multiparty Engagement in Open-World Dialog, SIGDIAL 2009: Meeting on Discourse and Dialogue, London, UK, September, 2009 (video). Best Paper award.
  
  
• D. Bohus and E. Horvitz. Learning to Predict Engagement with a Spoken Dialog System in Open-World Settings, SIGDIAL 2009: Meeting on Discourse and Dialogue, London, UK, September, 2009.
  
  
• D. Bohus and E. Horvitz. Dialog in the Open World: Platform and Applications, ICMI-MLMI 2009: International Conference on Multimodal Interaction, Cambridge, MA. November, 2009. Outstanding Paper award.
  
  
• D. Bohus and E. Horvitz. Open-World Dialog: Challenges, Directions, and a Prototype. IJCAI Workshop on Knowledge and Reasoning in Practical Dialog Systems, Pasadena, CA, August 2009 (video).
  
  
• E. Horvitz. Reflections on Challenges and Promises of Mixed-Initiative Interaction, AAAI Magazine 28, Special Issue on Mixed-Initiative Assistants (2007).
  
  
• T. Paek and E. Horvitz, On the Utility of Decision-Theoretic Hidden Subdialog. In Proceedings of International Speech Communication Association (ISCA) Workshop on Error Handling in Spoken Dialogue Systems, Chateaux d'Oex, Switzerland, August 2003.
  
  
• E. Horvitz and T. Paek. Harnessing Models of Users' Goals to Mediate Clarification Dialog in Spoken Language Systems. Proceedings of the Eighth International Conference on User Modeling, July 2001.
  
  
• T. Paek, E. Horvitz, E. Ringger. Continuous Listening for Unconstrained Spoken Dialog, 6th International Conference on Spoken Language Processing (ICSLP 2000), Beijing, November 2000.
  
  
• E. Horvitz and T. Paek, DeepListener: Harnessing Expected Utility to Guide Clarification Dialog in Spoken Language Systems, 6th International Conference on Spoken Language Processing (ICSLP 2000), Beijing, November 2000.
  
  
• E. Horvitz. Principles of Mixed-Initiative User Interfaces. Proceedings of CHI '99, ACM SIGCHI Conference on Human Factors in Computing Systems, Pittsburgh, PA, May 1999.
  
  
• E. Horvitz. Uncertainty, Action, and Interaction: In Pursuit of Mixed-Initiative Computing. Intelligent Systems, Sept./ October Issue, IEEE Computer Society.
  
  
• E. Horvitz and T. Paek, A Computational Architecture for Conversation. Proceedings of the Seventh International Conference on User Modeling, Banff, Canada, June 1999. New York: Springer Wien.
  
  
• T. Paek and Eric Horvitz. Conversation as Action Under Uncertainty, In Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence (UAI-2000), Stanford, CA, June 2000.



• T. Paek and E. Horvitz, Uncertainty, Utility, and Misunderstanding: A Decision-Theoretic Perspective on Grounding in Conversational Systems. AAAI Fall Symposium on Psychological Models of Communication in Collaborative Systems, Cape Cod, MA. November 5-7, 1999.
  
  
• T. Paek and E. Horvitz, Grounding Criterion: Toward a Formal Theory of Grounding. MSR Technical Report MSR-TR-2000-40, April 1999.
  
  
• E. Horvitz and M. Shwe, Handsfree Decision Support: Toward a Non-invasive Human-Computer Interface, Nineteenth Annual Symposium on Computer Applications in Medical Care. Toward Cost-Effective Clinical Computing, November 1995. View photo and videos of early prototype.
  
  

Human computation and crowdsourcing

• E. Kamar, A. Kapoor, and E. Horvitz. Adaptive Control for Acquiring the Wisdom of the Crowd, IJCAI 2013, Beijing, China, August 2013.
  
  
• H. Zhang, E. Horvitz, D. Parkes. Automated Workflow Synthesis, AAAI 2013, Bellevue, Washington, July 2013.
  
  
• A. Sadilek, J. Krumm, and E. Horvitz. Crowdphysics: Planned and Opportunistic Crowdsourcing for Physical Tasks, ICWSM 2013, Boston, MA, July 2013.
  
  
• E. Kamar and E. Horvitz. Light at the End of the Tunnel: A Monte Carlo Approach to Computing Value of Information, AAMAS 2013, St. Paul, Minnesota, May 2013.
  
  
• H. Zhang, E. Horvitz, R.C. Miller, and D.C. Parkes, Crowdsourcing General Computation Workshop on Crowdsourcing and Human Computation: Systems, Studies, and Platforms, ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), Vancouver BC, May 2011.
  
  
• H. Zhang, E. Horvitz, Y. Chen, and D.C. Parkes, Task Routing for Prediction Tasks Workshop on Social Computing and User-Generated Content, EC 2011: 12th ACM Conference on Electronic Commerce , San Jose, June 2011.
  
  
• E. Kamar and E. Horvitz. Light at the End of the Tunnel: A Monte Carlo Approach to Computing Value of Information, AAMAS 2013, St. Paul, Minnesota, May 2013.
  
  
• X. Chen, P.N. Bennett, K. Collins-Thompson, E. Horvitz. Pairwise Ranking Aggregation in a Crowdsourced Setting, WSDM 2013, Rome, February 2013.
  
  
• E. Kamar, S. Hacker, E. Horvitz. Combining Human and Machine Intelligence in Large-scale Crowdsourcing, AAMAS 2012, Valencia, Spain, June 2012.
  
  
• D. Shahaf and E. Horvitz. Generalized Task Markets for Human and Machine Computation, AAAI 2010, Atlanta, GA, July 2010.
  
  
• E. Kamar and E. Horvitz. Incentives for Truthful Reporting in Crowdsourcing, AAMAS 2012, Valencia, Spain, June 2012.
  
  
• W. Wang, D. Bohus, E. Kamar, E. Horvitz. Crowdsourcing the Acquisition of Natural Language Corpora: Methods and Observations, SLT 2012 - IEEE Spoken Language Technologies, Miami, FA, December 2012.
  
  
• A. Kapoor, B. Lee, D. Tan, E. Horvitz. Learning to Learn: Algorithmic Inspirations from Human Problem Solving, AAAI 2012, Toronto, July 2012.
  
  
• M. Bernstein, J. Teevan, S.T. Dumais, D. Liebling, and E. Horvitz. Direct answers for search queries in the long tail. Proceedings of CHI 2012, Austin,TX, April 2012.
  
  
• H. Zhang, E. Law, K. Gajos, R. Miller, D. Parkes, and E. Horvitz. Human Computation Tasks with Global Constraints, CHI 2012, Austin, TX, May 2012.
  
  
• E. Law, P.N. Bennett, and E. Horvitz. The Effects of Choice in Routing Relevance Judgments, SIGIR 2011, Beijing, China, July 2011.
  
  
• E. Kamar and E. Horvitz. Collaboration and Shared Plans in the Open World: Studies of Ridesharing, IJCAI 2009, Pasadena, CA, July 2009.
  
  
• M. Bernstein, D. Tan, G. Smith, M. Czerwinski, E. Horvitz. Personalization via Friendsourcing, ACM TOCHI, May 2010.
  
  
• B. Bailey, E. Horvitz. What’s Your Idea? A Case Study of a Grassroots Innovation Pipeline within a Large Software Company, Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), Atlanta, GA, April 2010.
  
  

People, cognition, and computing

• M. De Choudhury, M. Gamon, S. Counts, E. Horvitz. Predicting Depression via Social Media, ICWSM 2013, Boston, MA, July 2013.
  
  
• R. West, R.W. White, E. Horvitz, From Cookies to Cooks: Insights on Dietary Patterns via Analysis of Web Usage Logs, WWW 2013, Rio de Janeiro, Brazil, May 2013.
  
  
• M. De Choudhury, S. Counts, E. Horvitz. Social Media as a Measurement Tool of Depression in Populations, WebSci 2013, May 2013, Paris, France.
  
  
• M. De Choudhury, S. Counts, E. Horvitz. Predicting Postpartum Changes in Emotion and Behavior via Social Media, CHI 2013, April 2013, Paris, France.
  
  
• R.W. White, N.P. Tatonetti, N. H. Shah, R.B. Altman, E. Horvitz. Web-Scale Pharmacovigilance: Listening to Signals from the Crowd. JAMIA, March 2013.
  
  
• S. Rosenthal, S. Skaff, M. Veloso, D. Bohus, E. Horvitz. Execution Memory for Grounding and Coordination. Human Robot Interaction, HRI 2013, Tokyo, Japan, March 2013.
  
  
• M. De Choudhury, S. Counts, E. Horvitz. Major Life Changes and Behavioral Markers in Social Media: Case of Childbirth, CSCW 2013, February 2013, San Antonio, Texas.
  
  
• A. Kapoor, B. Lee, D. Tan, E. Horvitz. Learning to Learn: Algorithmic Inspirations from Human Problem Solving, AAAI 2012, Toronto, July 2012.
  
  
• M. De Choudhury, S. Counts, E. Horvitz. How Social Information Networks Reflect Major Life Events: Case of Childbirth, Workshop on Information in Networks (WIN), New York, NY, September 2012.
  
  
• A. Kapoor, B. Lee, D. Tan, E. Horvitz. Performance and Preferences: Interactive Refinement of Machine Learning Procedures, AAAI 2012, Toronto, July 2012
  
  
• A. Krause and E. Horvitz. A Utility-theoretic Approach to Privacy in Online Services, Journal of Artificial Intelligence Research, 39 (2010) 633-662.
  
  
• S. Seuken, D.Parkes, E. Horvitz, K. Jain, M. Czerwinski, and D. Tan, Market User Interface Design, Conference on Auctions, Market Mechanisms and their Applications(CHI), New York, NY, August 2011.
  
  
• S.T. Iqbal, E. Horvitz, Y. Ju, and E. Mathews, Hang on a Sec! Effects of Proactive Mediation of Phone Conversations while Driving, Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), Vancouver BC, May 2011.
  
  
• E. Kamar and E. Horvitz, Jogger: Investigation of Principles of Context-Sensitive Reminding, Proceedings of International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), Tapei, May 2011.
  
  
• A. Kapoor, B. Lee, D. Tan, E. Horvitz. Interactive Optimization for Steering Classification, Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), Atlanta, GA, April 2010.
  
  
• S.T. Iqbal, Y.C. Ju, E. Horvitz. Cars, Calls, and Cognition: Investigating Driving and Divided Attention, Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), Atlanta, GA, April 2010.
  
  
• S.T. Iqbal and E. Horvitz. Notifications and Awareness: A Field Study of Alert Usage and Preferences, Proceedings of the ACM Conference on Computer Supported Cooperative Work (CSCW), Savannah, GA, February 2010.
  
  
• B. Bailey, E. Horvitz. What’s Your Idea? A Case Study of a Grassroots Innovation Pipeline within a Large Software Company, Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), Atlanta, GA, April 2010.
  
  
• M. Bernstein, D. Tan, G. Smith, M. Czerwinski, Eric Horvitz. Collabio: A Game for Annotating People within Social Networks. Proceedings of UIST 2009. Victoria, Canada, October 2009 (video).
  
  
• E. Horvitz and B. Selman. AAAI Presidential Panel on Long-Term AI Futures: Interim Report from the Panel Chairs, Association for the Advancement of Artificial Intelligence, August 2009. In: A. H. Eden, J.H. Moor, J.H.Soraker, and E. Steinhart, Eds., Singularity Hypotheses: A Scientific and Philosophical Assessment, 2013.
  
  
• A. Krause and E. Horvitz. A Utility-Theoretic Approach to Privacy and Personalization, AAAI-08: Twenty-Third Conference on Artificial Intelligence, Chicago, Illinois, July 2008.
  
  
• A. Kapoor, D. Tan, P. Shenoy, E. Horvitz. Complementary Computing for Visual Tasks: Meshing Computer Vision with Human Visual Processing, IEEE International Conference on Automatic Face and Gesture Recognition.
  
  
• J. Leskovec and E. Horvitz. Planetary-Scale Views on a Large Instant-Messaging Network, Proceedings of WWW 2008, Beijing, China, April 2008.
  
  
• A. Krause and E. Horvitz. Privacy, Personalization, and the Web: A Utility-theoretic Approach, NIPS Workshop on Machine Learning for Web Search, Whistler, British Columbia, December 2007.
  
  
• A. Kapoor and E. Horvitz. On Discarding, Caching, and Recalling Samples in Active Learning, Proceedings of the Conference on Uncertainty and Artificial Intelligence 2007, AUAI Press, July 2007.
  
  
• J. Leskovec and E. Horvitz. Worldwide Buzz: Planetary-Scale Views on an Instant-Messaging Network, Microsoft Research Technical Report MSR-TR-2006-186, Microsoft Research, June 2007.
  
  
• M. R. Morris and E. Horvitz. S3: Storable, Shareable Search, Proceedings of Interact 2007, Proceedings of Interact 2007, Riao De Janeiro, Brazil, September 2007.
  
  
• D. Downey, S. Dumais, and E. Horvitz. Heads and Tails: Studies of Web Search with Common and Rare Queries, Proceedings of SIGIR 2007, ACM Press, August 2007.
  
  
• M. R. Morris and E. Horvitz. SearchTogether: An Interface for Collaborative Web Search, Proceedings of UIST 2007, Newport, RI, October 2007.
  
  
• E. Horvitz. Reflections on Challenges and Promises of Mixed-Initiative Interaction, AAAI Magazine 28, Special Issue on Mixed-Initiative Assistants (2007).
  
  
• S. T. Iqbal and E. Horvitz. Disruption and Recovery of Computing Tasks: Field Study, Analysis, and Directions, Proceedings of CHI 2007, San Jose, California, April 2007.
  
  
• E. Horvitz and T. Paek. Complementary Computing: Policies for Transferring Callers from Dialog Systems to Human Receptionists. User Modeling and User Adapted Interaction 17 (2007).
  
  
• E. Horvitz and P. Koch. Mobile Opportunistic Planning: Methods and Models. Proceedings of the Eleventh Conference on User Modeling (UM 2005), June 2007, Corfu, Greece, pp. 238–247.
  
  
• E Horvitz. Machine Learning, Reasoning, and Intelligence in Daily Life: Directions and Challenges (Invited talk), Proceedings of Artificial Intelligence Techniques for Ambient Intelligence, Hyderabad, India, January 2007.
  
  
• A. Kapoor and E. Horvitz. Principles of Lifelong Learning for Predictive User Modeling. Proceedings of the Eleventh Conference on User Modeling (UM 2005), June 2007, Corfu, Greece.
  
  
• J.C. Krumm and E. Horvitz. Driver Destination Models. Proceedings of the Eleventh Conference on User Modeling (UM 2005), June 2007, Corfu, Greece.
  
  
• S. Iqbal and E. Horvitz. Conversations Amidst Computing: A Study of Interruptions and Recovery of Task Activity. Proceedings of the Eleventh Conference on User Modeling (UM 2005), June 2007, Corfu, Greece.
  
  
• P. Dewan, J. Grudin, E. Horvitz. Towards Mixed-Initiative Access Control, Proceedings of the IEEE Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2007), November 2007, 64-71.
  
  
• J. Krumm and E Horvitz. Predestination: Inferring Destinations from Partial Trajectories, UbiComp 2006: Eighth International Conference on Ubiquitous Computing, September 2006.
  
  
• J. Letchner, J. Krumm, and E. Horvitz, Trip Router with Individualized Preferences: Incorporating Personalization into Route Planning, Eighteenth Conference on Innovative Applications of Artificial Intelligence, July 2006.
  
  
• E. Horvitz, Reflection: Expectations in 50 years, New Scientist, 50th Anniversary Edition, November 2006.
  
  
• E. Horvitz, J. Apacible, R. Sarin, and L. Liao. Prediction, Expectation, and Surprise: Methods, Designs, and Study of a Deployed Traffic Forecasting Service, Proceedings of the Conference on Uncertainty and Artificial Intelligence 2005,, AUAI Press, July 2005.
  
  
• E. Horvitz, J. Apacible, and P. Koch. BusyBody: Creating and Fielding Personalized Models of the Cost of Interruption, Proceedings of CSCW, Conference on Computer Supported Cooperative Work, ACM Press, November 2004.
  
  
• E. Horvitz and J. Apacible. Learning and Reasoning about Interruption. Proceedings of the Fifth ACM International Conference on Multimodal Interfaces, November 2003, Vancouver, BC, Canada.
  
  
• E. Horvitz, J. Apacible, M. Subramani. Balancing Awareness and Interruption: Investigation of Notification Deferral Policies. Proceedings of the Tenth Conference on User Modeling (UM 2005), July 2005, Edinburgh, Scotland.
  
  
• N. Oliver and E. Horvitz. A Comparison of HMMs and Dynamic Bayesian Networks for Recognizing Office Activities. Proceedings of the Tenth Conference on User Modeling (UM 2005), July 2005, Edinburgh, Scotland.
  
  
• E. Horvitz, P. Koch, R. Sarin, J. Apacible, M. Subramani. Bayesphone: Context-Sensitive Policies for Inquiry and Action in Mobile Devices. Proceedings of the Tenth Conference on User Modeling (UM 2005), July 2005, Edinburgh, Scotland.
  
  
• R. Hariharan, J. Krumm, E. Horvitz, Web-Enhanced GPS, Proceedings of the International Workshop on Location- and Context-Awareness (LoCA 2005), May 2005.
  
  
• J. Olson, J. Grudin, E. Horvitz. A Study of Preferences for Sharing and Privacy. ACM SIGCHI Conference on Human Factors in Computing Systems, Portland, OR , April, 2005.
  
  
• T. Paek and E. Horvitz. Optimizing Automated Call Routing by Integrating Spoken Dialog Models with Queuing Models, HLT 2004: Human Language Technology Conference, May 2004.
  
  
• E. Horvitz, S. Dumais, P. Koch. Learning Predictive Models of Memory Landmarks, CogSci 2004: 26th Annual Meeting of the Cognitive Science Society, Chicago, August 2004.
  
  
• E. Horvitz, A Curse of Riches or a Blessing? Information Access and Awareness under Scarce Cognitive Resources, Keynote abstract, Adaptive Hypermedia 2004, Eindhoven, Netherlands, August 2004.
  
  
• G. Robertson, E. Horvitz, M. Czerwinski, P. Baudisch, D. Hutchings, B. Meyers, D. Robbins, G. Smith, Scalable Fabric: A Flexible Representation for Task Management, Advanced Visual Interfaces, AVI 2004, Gallipoli, Italy, May 2004, pp. 85-89.
  
  
• D. Robbins, E. Cutrell, R. Sarin, E. Horvitz, ZoneZoom: Map Navigation with Smartphones with Recursive View Segmentation, Advanced Visual Interfaces, AVI 2004, Gallipoli, Italy, May 2004.
  
  
• M. Czerwinski, M., E. Horvitz, and S. Wilhite. A Diary Study of Task Switching and Interruptions, Proceedings of CHI 2004, Human Factors in Computing Systems. Vienna, April 2004.
  
  
• E. Horvitz, C. M. Kadie, T. Paek, D. Hovel. Models of Attention in Computing and Communications: From Principles to Applications, Communications of the ACM 46(3):52-59, March 2003.
  
  
• M. Ringel, E. Cutrell, S. Dumais, E. Horvitz. Milestones in Time: The Value of Landmarks in Retrieving Information from Personal Stores. Proceedings of Interact 2003: Ninth International Conference on Human-Computer Interaction, September 2003, Zürich, Switzerland.
  
  
• K. Hinckley, J. Pierce, E. Horvitz, M. Sinclair. Foreground and Background Interaction with Sensor-enhanced Mobile Devices, Transactions on Computer-Human Interaction (ACM TOCHI), Special Issue on Sensor-Based Interaction, 12 (1), March 2005, pp. 31-52.
  
  
• Czerwinski, M. and Horvitz, E. An Investigation of Memory for Daily Computing Events. Proceedings of HCI 2002: Sixteenth British HCI Group Annual Conference, London, England, September 2002.
  
  
• E. Horvitz, P. Koch, C.M. Kadie, and A. Jacobs. Coordinate: Probabilistic Forecasting of Presence and Availability.Proceedings of UAI '02, Proceedings of the Eighteenth Conference on Uncertainty and Artificial Intelligence, Edmonton, Canada, July 2002, pp. 224-233.
  
  
• M. van Dantzich, D. Robbins, E. Horvitz, M. Czerwinski, Scope: Providing Awareness of Multiple Notifications at a Glance, In: Proceedings of AVI 2002, ACM Conference on Advanced Visual Interfaces, Trento, Italy, May 22-24, 2002. ACM Press.
  
  
• C. R. Anderson and E. Horvitz. Web Montage: A Dynamic Personalized Start Page, Eleventh Inernational World Wide Web Conference, Honolulu, Hawaii, May 2002.
  
  
• Horvitz, E., Apacible, J., Subramani, M., Sarin, R., Koch, P., Cadiz, J.J., Narin, A., Rui, Y., Experiences with the Design, Fielding, and Evaluation of a Real-Time Communications Agent, Microsoft Research Technical Report MSR-TR-2003-98, December 2003.
  
  
• E. Cutrell, M. Czerwinski, and E. Horvitz. Notification, Disruption and Memory: Effects of Messaging Interruptions on Memory and Performance. Proceedings of Interact 2001, Tokyo.
  
  
• M. Czerwinski, E. Horvitz, and E. Cutrell. Subjective Duration Assessment: An Implicit Probe for Software Usability. Proceedings of IHM-HCI 2001, Lille, France, September, 2001, pp. 167-170.
  
  
• E. Horvitz. Uncertainty, Action, and Interaction: In Pursuit of Mixed-Initiative Computing. Intelligent Systems, Sept./ October Issue, 2000, IEEE Computer Society.
  
  
• M. Czerwinski, E. Cutrell, and E. Horvitz. Instant Messaging and Interruption: Influence of Task Type on Performance, Proceedings of OZCHI 2000, Sydney, Australia, December 2000.
  
  
• M. Czerwinski, E. Cutrell, and E. Horvitz. Instant Messaging: Effects of Relevance and Time, In S. Turner, P. Turner (Eds), People and Computers XIV: Proceedings of HCI 2000, Sunderland, UK, September 2000. Vol. 2, British Computer Society, p. 71-76.
  
  
• E. Cutrell, M. Czerwinski, and E. Horvitz. Effects of Instant Messaging Interruptions on Computing Tasks. In Extended Abstracts of CHI ’2000, Human Factors in Computing Systems, The Hague, April 1-6, 2000, ACM press, 99-100. ACM Press.
  
  
• E. Horvitz. Principles of Mixed-Initiative User Interfaces. Proceedings of CHI '99, ACM SIGCHI Conference on Human Factors in Computing Systems, Pittsburgh, PA, May 1999.
  
  
• E. Horvitz. Uncertainty, Action, and Interaction: In Pursuit of Mixed-Initiative Computing. Intelligent Systems, Sept./ October Issue, IEEE Computer Society.
  
  
• E. Horvitz, A. Jacobs, D. Hovel. Attention-Sensitive Alerting, Proceedings of UAI '99, Conference on Uncertainty and Artificial Intelligence, July 1999, Morgan Kaufmann Publishers: San Francisco. pp. 305-313.
  
  
• K. Hinckley, J. Pierce, M. Sinclair, E. Horvitz, Sensing Techniques for Mobile Interaction, ACM UIST 2000 Symposium on User Interface Software and Technology, November 2000, San Diego, California, pp. 91-100. (Best Paper award, 2010; Lasting Impact award, 2011.) Video demo (mpeg).
  
  
• E. Horvitz and J. Lengyel. Perception, Attention, and Resources: A Decision-Theoretic Approach to Graphics Rendering. Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, August 1997, Morgan Kaufman: San Francisco, pp. 238-249.
  
  
• E. Horvitz, J. Breese, D. Heckerman, D. Hovel, and K. Rommelse. The Lumiere Project: Bayesian User Modeling for Inferring the Goals and Needs of Software Users. Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, Madison, WI, July 1998, Morgan Kaufmann: San Francisco, pp. 256-265.