Shipra Agrawal
POST-DOC RESEARCHER
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I am a post-doctoral researcher at Microsoft Research India in Bangalore, since August 2011. I completed my Phd at Department of Computer Science, Stanford University in June 2011. I obtained my Masters from Computer Science and Automation, IISc Bangalore, and Bachelors from Department of Computer Science, MBM Engineering College, Jodhpur.
My research interests lie on the intersection of theoretical computer science and machine learning. Some topics of my interest include stochastic optimization, online learning, approximation algorithms, prediction markets, and computational game theory.
Publications
- Shipra Agrawal and Navin Goyal, Thompson Sampling for contextual bandits with linear payoffs, in 30th International Conference on Machine Learning (ICML), June 2013
- Shipra Agrawal and Navin Goyal, Further optimal regret bounds for Thompson Sampling, in Sixteenth International Conference on Artificial Intelligence and Statistics (AISTATS), 2013
- Shipra Agrawal and Navin Goyal, Analysis of Thompson Sampling for the multi-armed bandit problem, in Proceedings of the 25th Annual Conference on Learning Theory (COLT), June 2012
- S. Agrawal, Y. Ding, A. Saberi, and Y. Ye, Price of Correlations in Stochastic Optimization, in Operations Research 60:243-248, February 2012
- S. Agrawal, E. Delage, M. Peters, Z. Wang, and Y. Ye, A Unified Framework for Dynamic Pari-mutuel Information Market Design, in Operations Research, vol. 59, no. 3, pp. 550–568, May 2011
- S. Agrawal, N. Megiddo, and B. Ambruster, Equilibrium in Prediction Markets with Buyers and Sellers, in Economic Letters, vol. 109, no. 1, pp. 46–49, October 2010
- S. Agrawal, Y. Ding, A. Saberi, and Y. Ye, Correlation Robust Stochastic Optimization, in Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), 2010
- S. Agrawal, J. R. Haritsa, and B.A. Prakash, FRAPP: A Framework for High-Accuracy Privacy-Preserving Mining, in Data Mining and Knowledge Discovery Journal, vol. 18, pp. 101–139, 2009
- S. Agrawal, Z. Wang, and Y. Ye, A Dynamic Near-Optimal Algorithm for Online Linear Programming, in Arxiv preprint arXiv:0911.2974, 2009
- S. Agrawal, E. Delage, M. Peters, Z. Wang, and Y. Ye, A Unified Framework for Dynamic Pari-mutuel Information Market Design, in Proceedings of the tenth ACM conference on Electronic commerce (EC), 2009
- S. Agrawal, Z. Wang, and Y. Ye, Parimutuel Betting on Permutations, in Internet and Network Economics (WINE), pp. 126–137, 2008
- S. Agrawal, S. Deb, K.V.M. Naidu, and R. Rastogi, Efficient Detection of Distributed Constraint Violations (Short paper), in Proceedings of the 23rd International Conference on Data Engineering (ICDE), 2007
- S. Agrawal, K.V.M. Naidu, and R. Rastogi, Diagnosing Link-Level Anomalies Using Passive Probes, in Proceedings of the 26th Annual IEEE Conference on Computer Communications (INFOCOM), 2007
- S. Agrawal, C. N. Kanthi, K. V. M. Naidu, J. Ramamirtham, R. Rastogi, S. Satkin, and A. Srini- vasan, Monitoring infrastructure for converged networks and services, in Bell Labs Technical Journal, vol. 12, pp. 63–77, 2007
- S. Agrawal, P.P.S.Narayan, J. Ramamirtham, R. Rastogi, M. Smith, K. Swanson, and M. Thottan, VoIP service quality monitoring using active and passive probes, in Proceedings of the First International Conference on COMmunication System softWAre and MiddlewaRE (COMSWARE), 2006
- S. Agrawal and J.R. Haritsa, A Framework for High-Accuracy Privacy-Preserving Mining, in In Proceedings of the 21st International Conference on Data Engineering (ICDE), 2005
- S. Agrawal, V. Krishnan, and J.R. Haritsa, On Addressing Efficiency Concerns in Privacy-Preserving Mining, in In Proceedings of the 9th International Conference on Database Systems for Advanced Applications (DASFAA), 2004
