Robert E. Schapire

Calculated based on number of publications stored in Pure and citations from Scopus
1987 …2023

Research activity per year

If you made any changes in Pure these will be visible here soon.
Filter
Conference contribution

Search results

  • 2022

    Provably sample-efficient RL with side information about latent dynamics

    Liu, Y., Misra, D., Dudík, M. & Schapire, R. E., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2021

    Bayesian decision-making under misspecified priors with applications to meta-learning

    Simchowitz, M., Tosh, C., Krishnamurthy, A., Hsu, D., Lykouris, T., Dudík, M. & Schapire, R., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 26382-26394 13 p. (Advances in Neural Information Processing Systems; vol. 32).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    7 Scopus citations
  • Contextual search in the presence of irrational agents

    Krishnamurthy, A., Lykouris, T., Podimata, C. & Schapire, R., Jun 15 2021, STOC 2021 - Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing. Khuller, S. & Williams, V. V. (eds.). Association for Computing Machinery, p. 910-918 9 p. (Proceedings of the Annual ACM Symposium on Theory of Computing).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    10 Scopus citations
  • Interactive Learning from Activity Description

    Nguyen, K., Misra, D., Schapire, R., Dudík, M. & Shafto, P., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. ML Research Press, p. 8096-8108 13 p. (Proceedings of Machine Learning Research; vol. 139).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Scopus citations
  • Multiclass Boosting and the Cost of Weak Learning

    Brukhim, N., Hazan, E., Moran, S., Mukherjee, I. & Schapire, R. E., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 3057-3067 11 p. (Advances in Neural Information Processing Systems; vol. 4).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Scopus citations
  • 2019

    Adversarial bandits with knapsacks

    Immorlica, N., Sankararaman, K. A., Schapire, R. & Slivkins, A., Nov 2019, Proceedings - 2019 IEEE 60th Annual Symposium on Foundations of Computer Science, FOCS 2019. IEEE Computer Society, p. 202-219 18 p. 8948695. (Proceedings - Annual IEEE Symposium on Foundations of Computer Science, FOCS; vol. 2019-November).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    34 Scopus citations
  • 2018

    Learning deep ResNet blocks sequentially using boosting theory

    Huang, F., Ash, J. T., Langford, J. & Schapire, R. E., Jan 1 2018, 35th International Conference on Machine Learning, ICML 2018. Dy, J. & Krause, A. (eds.). International Machine Learning Society (IMLS), p. 3272-3290 19 p. (35th International Conference on Machine Learning, ICML 2018; vol. 5).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    13 Scopus citations
  • Practical Contextual Bandits with Regression Oracles

    Foster, D. J., Agarwal, A., Dudik, M., Haipeng, L. & Schapire, R. E., 2018, 35th International Conference on Machine Learning, ICML 2018. Dy, J. & Krause, A. (eds.). International Machine Learning Society (IMLS), p. 2482-2517 36 p. (35th International Conference on Machine Learning, ICML 2018; vol. 4).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    17 Scopus citations
  • 2017

    Contextual decision processes with low Bellman rank are PAC-learnable

    Jiang, N., Krishnamurthy, A., Agarwal, A., Langford, J. & Schapire, R. E., 2017, 34th International Conference on Machine Learning, ICML 2017. International Machine Learning Society (IMLS), p. 2671-2707 37 p. (34th International Conference on Machine Learning, ICML 2017; vol. 4).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    58 Scopus citations
  • Oracle-efficient online learning and auction design

    Dudik, M., Haghtalab, N., Luo, H., Schapire, R. E., Syrgkanis, V. & Vaughan, J. W., Nov 10 2017, Proceedings - 58th Annual IEEE Symposium on Foundations of Computer Science, FOCS 2017. IEEE Computer Society, p. 528-539 12 p. 8104087. (Annual Symposium on Foundations of Computer Science - Proceedings; vol. 2017-October).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    30 Scopus citations
  • 2016

    Efficient algorithms for adversarial contextual learning

    Syrgkanis, V., Krishnamurthy, A. & Schapire, R. E., 2016, 33rd International Conference on Machine Learning, ICML 2016. Weinberger, K. Q. & Balcan, M. F. (eds.). International Machine Learning Society (IMLS), p. 3184-3206 23 p. (33rd International Conference on Machine Learning, ICML 2016; vol. 5).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    22 Scopus citations
  • 2015

    Collaborative place models

    Kapicioglu, B., Rosenberg, D. S., Schapire, R. E. & Jebara, T., Jan 1 2015, IJCAI 2015 - Proceedings of the 24th International Joint Conference on Artificial Intelligence. Wooldridge, M. & Yang, Q. (eds.). International Joint Conferences on Artificial Intelligence, p. 3612-3618 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2015-January).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Scopus citations
  • 2014

    Error-adaptive classifier boosting (EACB): Exploiting data-driven training for highly fault-tolerant hardware

    Wang, Z., Schapire, R. & Verma, N., 2014, 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014. Institute of Electrical and Electronics Engineers Inc., p. 3884-3888 5 p. 6854329. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    13 Scopus citations
  • Taming the monster: A fast and simple algorithm for contextual bandits

    Agarwal, A., Hsu, D., Kale, S., Langford, J., Li, L. & Schapire, R. E., 2014, 31st International Conference on Machine Learning, ICML 2014. International Machine Learning Society (IMLS), p. 3611-3619 9 p. (31st International Conference on Machine Learning, ICML 2014; vol. 5).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    112 Scopus citations
  • Towards minimax online learning with unknown time horizon

    Luo, H. & Schapire, R. E., 2014, 31st International Conference on Machine Learning, ICML 2014. International Machine Learning Society (IMLS), p. 378-397 20 p. (31st International Conference on Machine Learning, ICML 2014; vol. 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    7 Scopus citations
  • 2011

    A game theoretic approach to expander-based compressive sensing

    Jafarpour, S., Cevher, V. & Schapire, R. E., 2011, 2011 IEEE International Symposium on Information Theory Proceedings, ISIT 2011. p. 464-468 5 p. 6034169. (IEEE International Symposium on Information Theory - Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    6 Scopus citations
  • Compressive sensing meets game theory

    Jafarpour, S., Schapire, R. E. & Cevher, V., 2011, 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings. p. 3660-3663 4 p. 5947144. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Scopus citations
  • 2010

    A contextual-bandit approach to personalized news article recommendation

    Li, L., Chu, W., Langford, J. & Schapire, R. E., 2010, Proceedings of the 19th International Conference on World Wide Web, WWW '10. p. 661-670 10 p. (Proceedings of the 19th International Conference on World Wide Web, WWW '10).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1550 Scopus citations
  • A reduction from apprenticeship learning to classification

    Syed, U. & Schapire, R. E., 2010, Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010. Neural Information Processing Systems, (Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    42 Scopus citations
  • A theory of multiclass boosting

    Mukherjee, I. & Schapire, R. E., 2010, Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010. Neural Information Processing Systems, (Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    21 Scopus citations
  • Combining spatial and telemetric features for learning animal movement models

    Kapicioglu, B., Schapire, R. E., Wikelski, M. & Broderick, T., Dec 1 2010, Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence, UAI 2010. p. 260-267 8 p. (Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence, UAI 2010).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • The convergence rate of AdaBoost

    Schapire, R. E., Dec 1 2010, COLT 2010 - The 23rd Conference on Learning Theory. p. 308-309 2 p. (COLT 2010 - The 23rd Conference on Learning Theory).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    13 Scopus citations
  • 2008

    A game-theoretic approach to apprenticeship learning

    Syed, U. & Schapire, R. E., 2008, Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference. Neural Information Processing Systems, (Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    141 Scopus citations
  • Apprenticeship learning using linear programming

    Syed, U., Bowling, M. & Schapire, R. E., 2008, Proceedings of the 25th International Conference on Machine Learning. Association for Computing Machinery (ACM), p. 1032-1039 8 p. (Proceedings of the 25th International Conference on Machine Learning).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    151 Scopus citations
  • FilterBoost: Regression and classification on large datasets

    Bradley, J. K. & Schapire, R. E., 2008, Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference. Neural Information Processing Systems, (Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    44 Scopus citations
  • 2007

    Imitation learning with a value-based prior

    Syed, U. & Schapire, R. E., Dec 1 2007, Proceedings of the 23rd Conference on Uncertainty in Artificial Intelligence, UAI 2007. p. 384-391 8 p. (Proceedings of the 23rd Conference on Uncertainty in Artificial Intelligence, UAI 2007).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Scopus citations
  • 2006

    Algorithms for portfolio management based on the Newton method

    Agarwal, A., Hazan, E., Kale, S. & Schapire, R. E., 2006, ACM International Conference Proceeding Series - Proceedings of the 23rd International Conference on Machine Learning, ICML 2006. p. 9-16 8 p. (ACM International Conference Proceeding Series; vol. 148).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    109 Scopus citations
  • Algorithms for portfolio management based on the Newton method

    Agarwal, A., Hazan, E., Kale, S. & Schapire, R. E., Oct 6 2006, ICML 2006 - Proceedings of the 23rd International Conference on Machine Learning. p. 9-16 8 p. (ICML 2006 - Proceedings of the 23rd International Conference on Machine Learning; vol. 2006).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    56 Scopus citations
  • How boosting the margin can also boost classifier complexity

    Reyzin, L. & Schapire, R. E., 2006, ACM International Conference Proceeding Series - Proceedings of the 23rd International Conference on Machine Learning, ICML 2006. p. 753-760 8 p. (ACM International Conference Proceeding Series; vol. 148).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    86 Scopus citations
  • How boosting the margin can also boost classifier complexity

    Reyzin, L. & Schapire, R. E., 2006, ICML 2006 - Proceedings of the 23rd International Conference on Machine Learning. p. 753-760 8 p. (ICML 2006 - Proceedings of the 23rd International Conference on Machine Learning; vol. 2006).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    78 Scopus citations
  • Maximum entropy distribution estimation with generalized regularization

    Dudík, M. & Schapire, R. E., 2006, Learning Theory - 19th Annual Conference on Learning Theory, COLT 2006, Proceedings. Springer Verlag, p. 123-138 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4005 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    29 Scopus citations
  • 2005

    Adding dense, weighted connections to WordNet

    Boyd-Graber, J., Fellbaum, C., Osherson, D. & Schapire, R., 2005, GWC 2006: 3rd International Global WordNet Conference, Proceedings. Masaryk University, p. 29-35 7 p. (GWC 2006: 3rd International Global WordNet Conference, Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    89 Scopus citations
  • Convergence and consistency of regularized Boosting algorithms with stationary β-mixing observations

    Lozano, A. C., Kulkarni, S. R. & Schapire, R. E., Dec 1 2005, Advances in Neural Information Processing Systems 18 - Proceedings of the 2005 Conference. p. 819-826 8 p. (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    16 Scopus citations
  • Correcting sample selection bias in maximum entropy density estimation

    Dudík, M., Schapire, R. E. & Phillips, S. J., Dec 1 2005, Advances in Neural Information Processing Systems 18 - Proceedings of the 2005 Conference. p. 323-330 8 p. (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    144 Scopus citations
  • Margin-based ranking meets boosting in the middle

    Rudin, C., Cortes, C., Mohri, M. & Schapire, R. E., 2005, Learning Theory - 18th Annual Conference on Learning Theory, COLT 2005, Proceedings. Springer Verlag, p. 63-78 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3559 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    36 Scopus citations
  • 2004

    A maximum entropy approach to species distribution modeling

    Phillips, S. J., Dudík, M. & Schapire, R. E., Dec 1 2004, Proceedings, Twenty-First International Conference on Machine Learning, ICML 2004. Greiner, R. & Schuurmans, D. (eds.). p. 655-662 8 p. (Proceedings, Twenty-First International Conference on Machine Learning, ICML 2004).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1482 Scopus citations
  • On the dynamics of boosting

    Rudin, C., Daubechies, I. & Schapire, R. E., 2004, Advances in Neural Information Processing Systems 16 - Proceedings of the 2003 Conference, NIPS 2003. Neural information processing systems foundation, (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    5 Scopus citations
  • 2002

    A generalization of principal component analysis to the exponential family

    Collins, M., Dasgupta, S. & Schapire, R. E., Jan 1 2002, Advances in Neural Information Processing Systems 14 - Proceedings of the 2001 Conference, NIPS 2001. Neural information processing systems foundation, (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    159 Scopus citations
  • ATTac-2001: A learning, autonomous bidding agent

    Stone, P., Schapire, R. E., Csirik, J. A., Littman, M. L. & McAllester, D., 2002, Agent-Mediated Electronic Commerce IV: Designing Mechanisms and Systems - AAMAS 2002 Workshop on Agent-Mediated Electronic Commerce, Revised Papers. Padget, J., Shehory, O., Parkes, D., Sadeh, N. & Walsh, W. E. (eds.). Springer Verlag, p. 143-160 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2531).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    11 Scopus citations
  • 1999

    Theoretical, views of boosting and applications

    Schapire, R. E., 1999, Algorithmic Learning Theory - 10th International Conference, ALT 1999, Proceedings. Watanabe, O. & Yokomori, T. (eds.). Springer Verlag, p. 13-25 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1720).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    88 Scopus citations
  • Theoretical views of boosting

    Schapire, R. E., 1999, Computational Learning Theory - 4th European Conference, EuroCOLT 1999, Proceedings. Fischer, P. & Simon, H. U. (eds.). Springer Verlag, p. 1-10 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1572).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    73 Scopus citations
  • 1998

    Boosting and Rocchio Applied to Text Filtering

    Schapire, R. E., Singer, Y. & Singhal, A., Aug 1 1998, SIGIR 1998 - Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, Inc, p. 215-223 9 p. (SIGIR 1998 - Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Scopus citations
  • Learning to order things

    Cohen, W. W., Schapire, R. E. & Singer, Y., Jan 1 1998, Advances in Neural Information Processing Systems 10 - Proceedings of the 1997 Conference, NIPS 1997. Neural information processing systems foundation, p. 451-457 7 p. (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    156 Scopus citations
  • 1995

    A comparison of new and old algorithms for a mixture estimation problem

    Helmbold, D. P., Singer, Y., Schapire, R. E. & Warmuth, M. K., Jul 5 1995, Proceedings of the 8th Annual Conference on Computational Learning Theory, COLT 1995. Association for Computing Machinery, Inc, p. 69-78 10 p. (Proceedings of the 8th Annual Conference on Computational Learning Theory, COLT 1995; vol. 1995-January).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    7 Scopus citations
  • A decision-theoretic generalization of on-line learning and an application to boosting

    Freund, Y. & Schapire, R. E., 1995, Computational Learning Theory - 2nd European Conference, EuroCOLT 1995, Proceedings. Vitanyi, P. (ed.). Springer Verlag, p. 23-37 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 904).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2601 Scopus citations
  • Predicting nearly as well as the best pruning of a decision tree

    Helmbold, D. P. & Schapire, R. E., Jul 5 1995, Proceedings of the 8th Annual Conference on Computational Learning Theory, COLT 1995. Association for Computing Machinery, Inc, p. 61-68 8 p. (Proceedings of the 8th Annual Conference on Computational Learning Theory, COLT 1995; vol. 1995-January).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    11 Scopus citations
  • 1994

    On the learnability of discrete distributions

    Kearns, M., Rubinfeld, R., Mansour, Y., Schapire, R. E., Ron, D. & Univemity, H., May 23 1994, Proceedings of the 26th Annual ACM Symposium on Theory of Computing, STOC 1994. Association for Computing Machinery, p. 273-282 10 p. (Proceedings of the Annual ACM Symposium on Theory of Computing; vol. Part F129502).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    176 Scopus citations
  • On the Worst-case Analysis of Temporal-difference Learning Algorithms

    Schapire, R. E. & Warmuth, M. K., 1994, Proceedings of the 11th International Conference on Machine Learning, ICML 1994. Cohen, W. W. & Hirsh, H. (eds.). Morgan Kaufmann Publishers, Inc., p. 266-274 9 p. (Proceedings of the 11th International Conference on Machine Learning, ICML 1994).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Scopus citations
  • 1993

    Efficient learning of typical finite automata from random walks

    Freund, Y., Keams, M., Ron, D., Rubinfeld, R., Schapire, R. E. & Sellie, L., Jun 1 1993, Proceedings of the 25th Annual ACM Symposium on Theory of Computing, STOC 1993. Association for Computing Machinery, p. 315-324 10 p. (Proceedings of the Annual ACM Symposium on Theory of Computing; vol. Part F129585).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    31 Scopus citations
  • How to use expert advice

    Cesa-Biancht, N., Freund, Y., Helmbol, D. P., Haussled, D., Schapire, R. E. & Warmuth, M. K., Jun 1 1993, Proceedings of the 25th Annual ACM Symposium on Theory of Computing, STOC 1993. Association for Computing Machinery, p. 382-391 10 p. (Proceedings of the Annual ACM Symposium on Theory of Computing; vol. Part F129585).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    70 Scopus citations