Robert E. Schapire

Affiliations: 
Princeton University, Princeton, NJ 
Area:
Mathematics, Computer Science, Statistics
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"Robert Schapire"

Parents

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Ronald Rivest grad student (Computer Science Tree)

Children

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Zafer Barutcuoglu grad student 2008 Princeton
Umar A. Syed grad student 2010 Princeton
Melissa K. Carroll grad student 2011 Princeton
Sina Jafarpour grad student 2011 Princeton
Indraneel Mukherjee grad student 2011 Princeton
Berk Kapicioglu grad student 2013 Princeton
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Publications

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Freund Y, Schapire RE. (2016) A decision-theoretic generalization of on-line learning and an application to boosting Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 904: 23-37
Freund Y, Schapire RE. (2016) A decision-theoretic generalization of on-line learning and an application to boosting Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 904: 23-37
Wang Z, Schapire RE, Verma N. (2015) Error Adaptive Classifier Boosting (EACB): Leveraging Data-Driven Training Towards Hardware Resilience for Signal Inference Ieee Transactions On Circuits and Systems I: Regular Papers. 62: 1136-1145
Syrgkanis V, Agarwal A, Luo H, et al. (2015) Fast convergence of regularized learning in games Advances in Neural Information Processing Systems. 2015: 2989-2997
Kapicioglu B, Rosenberg DS, Schapire RE, et al. (2015) Collaborative place models Ijcai International Joint Conference On Artificial Intelligence. 2015: 3612-3618
Huang TK, Agarwal A, Hsu D, et al. (2015) Efficient and parsimonious agnostic active learning Advances in Neural Information Processing Systems. 2015: 2755-2763
Lozano AC, Kulkarni SR, Schapire RE. (2014) Convergence and consistency of regularized boosting with weakly dependent observations Ieee Transactions On Information Theory. 60: 651-660
Luo H, Schapire RE. (2014) A drifting-games analysis for online learning and applications to boosting Advances in Neural Information Processing Systems. 2: 1368-1376
Luo H, Schapire RE. (2014) Towards minimax online learning with unknown time horizon 31st International Conference On Machine Learning, Icml 2014. 1: 378-397
Kapicioglu B, Rosenberg DS, Schapire RE, et al. (2014) Collaborative ranking for local preferences Journal of Machine Learning Research. 33: 466-474
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