Papers using Infer.NET


"Merlin: Specification Inference for Explicit Information Flow Problems"
Benjamin Livshits, Aditya V. Nori, Sriram K. Rajamani, Anindya Banerjee
PLDI '09, TechFest 2009

"DebugAdvisor: A Recommender System for Debugging"
B. Ashok, Joseph Joy, Hongkang Liang, Sriram Rajamani, Gopal Srinivasa, and Vipindeep Vangala
Foundations of Software Engineering (ESEC/FSE), 26 August 2009

"Immune System Modeling with Infer.NET"
Vincent Y. F. Tan, John Winn, Angela Simpson, Adnan Custovic
2008 IEEE International Conference on e-Science

"Matchbox: Large Scale Online Bayesian Recommendations"
David Stern,Ralf Herbrich,Thore Graepel
WWW 2009

"Usher: Improving Data Quality With Dynamic Forms"
Kuang Chen,Harr Chen,Neil Conway,Joseph M. Hellerstein,Tapan S. Parikh
ICTD 2009

"Novel Tools To Streamline the Conference Review Process: Experiences from SIGKDD'09"
Peter A. Flach, Sebastian Spiegler, Bruno Golenia, Simon Price, John Guiver, Ralf Herbrich, Thore Graepel, Mohammed J. Zaki
SIGKDD Explorations, 11(2). ISSN 19310145, pp. 62-67. December 2009

"Modeling Shared Tastes in Online Communities."
Laura Dietz
In: NIPS Workshop on Applications for Topic Models: Text and Beyond, Dec 2009


"A Novel Click Model and Its Applications to Online Advertising"
Zeyuan Allen Zhu, Weizhu Chen, Tom Minka, Chenguang Zhu, and Zheng Chen
Proceedings of the Third ACM International Conference on Web Search and Data Mining (WSDM 2010)

"Beyond Atopy: Multiple Patterns of Sensitization in Relation to Asthma in a Birth Cohort Study"
Simpson A, Tan VY, Winn J, Svensén M, Bishop CM, Heckerman DE, Buchan I, Custovic A.
Am J Respir Crit Care Med. 2010 Feb 18. [Epub ahead of print]

Statistical Models of Music-listening Sessions in Social Media
Elena Zheleva, John Guiver, Eduarda Mendes Rodrigues, and Natasa Milic-Frayling
WWW 2010

Bayesian knowledge corroboration with logical rules and user feedback
G. Kasneci, J. Van Gael, T. Graepel, and R. Herbrich.
In European Conference on Machine Learning (ECML), Barcelona, Spain, September 2010.

"Parameter Estimation of 1-PL and 2-PL models: A Comparison of Marginal Maximum Likelihood, Bayesian and Variational Bayesian Approximation Estimation Methods Using Infer.Net, SAS and WINBUGS"
Prathiba Natesan, Ratna Nandakumar, Tom Minka, Xiaoyu Qian, and Jonathan Rubright
75th Annual Meeting of the Psychometric Society (IMPS) 2010

Revisiting the Examination Hypothesis with Query Specific Position Bias
Sreenivas Gollapudi, Rina Panigrahy
CoRR 2010

Intelligent Agent for Information Extraction from Arabic Text without Machine Translation
Tarek Helmy and Abdirahman Daud
In: Proceedings of the 1st Workshop on Cross-Cultural and Cross-Lingual Aspects of the Semantic Web 2010

Comparative validation of graphical models for learning tumor segmentations from noisy manual annotations
Kaster FO, Menze BH, Weber MA and Hamprecht FA.
In: Proc MICCAI Workshop on Medical Computer Vision (MCV 2010). Beijing, China. LNCS 2010

Modeling skin and ageing phenotypes using latent variable models in Infer.NET
David Knowles, Leopold Parts, Daniel Glass and John Winn
In: Predictive Models in Personalized Medicine Workshop, NIPS 2010, 11 Dec 2010


Probabilistic, Modular and Scalable Inference of Typestate Specifications
Nels E. Beckman and Aditya V. Nori
In PLDI '11: Programming Languages Design and Implementation, June 2011

Precise Indoor Localization using PHY Layer Information
Souvik Sen, Bozidar Radunovic, Romit Roy Choudhury, and Tom Minka
ACM HotNets, November 2011

Using Infer.NET for Statistical Analyses
S.S.J. Wang and M.P. Wand
The American Statistician vol. 65, pp. 115-126, 2011

Dichotomous cellular properties of mouse orexin/hypocretin neurons
Cornelia Schöne, Anne Venner, David Knowles, Mahesh M Karnani and Denis Burdakov
The Journal of Physiology, 2011

Measure transformer semantics for Bayesian machine learning

Johannes Borgström, Andrew D. Gordon, Michael Greenberg, James Margetson, Jurgen Van Gael

In ESOP'11: Proceedings of the 20th European conference on Programming languages and systems, part of the joint European conferences on theory and practice of software

Pitman-Yor Diffusion Trees
David Knowles and Zoubin Ghahramani
27th Conference on Uncertainty in Artificial Intelligence (UAI 2011)

Message Passing Algorithms for the Dirichlet Diffusion Tree
David Knowles, Jurgen Van Gael, and Zoubin Ghahramani
Conference on Artificial Intelligence and Statistics (AISTATS 2011)

A probabilistic graphical model for the music harmony similarity task (in Russian)
I. A. Baltiyskiy, S. I. Nikolenko
Tr. SPIIRAN, 18 (2011), 136-163

Advertiser-centric approach to understand user click behavior in sponsored search
Sungchul Kim, Tao Qin, Hwanjo Yu, and Tie-Yan Liu
In Proceedings of the 20th ACM international conference on Information and knowledge management (CIKM '11), 2011

Non-conjugate Variational Message Passing for Multinomial and Binary Regression
David Knowles and Tom Minka
NIPS 2011


DIMSUM: Discovering Semantic Data of Interest from Un-mappable Memory with Confidence
Zhiqiang Lin, Junghwan Rhee, Chao Wu, Xiangyu Zhang, and Dongyan Xu
Proceedings of the 19th ISOC/USENIX Network and Distributed System Security Symposium, San Diego, CA, February 2012

A New Click Model for Relevance Prediction in Web Search
A. Fishkov, S.I. Nikolenko
Proceedings of EEML 2012, an ICFCA 2012 workshop, 2012, pp. 45-54

Causality with Gates
John Winn

How To Grade a Test Without Knowing the Answers --- A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing
Yoram Bachrach, Thore Graepel, Tom Minka, John Guiver
ICML 2012

You are Now Facing the Mona Lisa: Spot Localization using PHY Layer Information
Souvik Sen, Bozidar Radunovic, Romit Roy Choudhury, and Tom Minka
MobiSys 2012

Gaussian process regression networks
Andrew Gordon Wilson, David A. Knowles, and Zoubin Ghahramani.
International Conference on Machine Learning (ICML), 2012

Fixed-Form Variational Posterior Approximation Through Stochastic Linear Regression
Tim Salimans, David A. Knowles
unpublished 2012

A nonparametric variable clustering model
D Knowles, K Palla, Z Ghahramani
NIPS 2012

Compiling Relational Database Schemata into Probabilistic Graphical Models
Sameer Singh, Thore Graepel
NIPS 2012 Workshop on Probabilistic Programming

Bayesian Data Cleaning for Web Data
Yuheng Hu, Sushovan De, Yi Chen, Subbarao Kambhampati
Tech Report 2012


A model-learner pattern for Bayesian reasoning
Andrew D. Gordon, Mihhail Aizatulin, Johannes Borgstrom, Guillaume Claret, Thore Graepel, Aditya V. Nori, Sriram K. Rajamani, Claudio Russo
POPL 2013
NIPS 2012 Workshop on Probabilistic Programming

Quantifying variation in forest disturbance, and its effects on aboveground biomass dynamics, across the eastern United States
Mark C. Vanderwel, David A. Coomes, and Drew W. Purves
Global Change Biology (2013)

Model-based machine learning
Christopher M. Bishop
Philos Trans A Math Phys Eng Sci. 2013

Automated probabilistic modeling for relational data
Sameer Singh, Thore Graepel
CIKM 2013

Query-driven context aware recommendation
Negar Hariri, Bamshad Mobasher, Robin Burke
RecSys 2013

Bayesian networks for supporting query processing over incomplete autonomous databases
Rohit Raghunathan, Sushovan De, Subbarao Kambhampati
Journal of Intelligent Information Systems
September 2013

Structural Expectation Propagation (SEP): Bayesian structure learning for networks with latent variables
Nevena Lazic, Christopher Bishop, John Winn

Pediatric asthma and development of atopy
Adnan Custovic, Nevena Lazic, Angela Simpson
Current opinion in allergy and clinical immunology, Volume 13, Issue 2, Pages 173-180, 2013

Multiple atopy phenotypes and their associations with asthma: similar findings from two birth cohorts
N Lazic, G Roberts, A Custovic, D Belgrave, CM Bishop, J Winn, JA Curtin, S Hasan Arshad, A Simpson
Allergy, Volume 68, Issue 6, Pages 764-770, 2013

Detecting Parameter Symmetries in Probabilistic Models
R Nishihara, T Minka, D Tarlow
Tech Report 2013


Community-Based Bayesian Aggregation Models for Crowdsourcing
Matteo Venanzi, John Guiver, Gabriella Kazai, Pushmeet Kohli, and Milad Shokouhi
WWW 2014

Tabular: a schema-driven probabilistic programming language
Andrew D. Gordon, Thore Graepel, Nicolas Rolland, Claudio Russo, Johannes Borgstrom, John Guiver
POPL 2014

Developmental Profiles of Eczema, Wheeze, and Rhinitis: Two Population-Based Birth Cohort Studies
Danielle C. M. Belgrave, Raquel Granell, Angela Simpson, John Guiver, Christopher Bishop, Iain Buchan, A. John Henderson, and Adnan Custovic
PLoS Med 11(10) 2014

Students, Teachers, Exams and MOOCs: Predicting and Optimizing Attainment in Web-Based Education Using a Probabilistic Graphical Model
Bar Shalem, Yoram Bachrach, John Guiver, and Christopher M. Bishop
Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2014

Elastic Distributed Bayesian Collaborative Filtering
Alex Beutel, Markus Weimer, Tom Minka, Yordan Zaykov, and Vijay Narayanan
Distributed Machine Learning and Matrix Computations, NIPS 2014 Workshop

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