Robert E. Schapire
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Robert E. Schapire

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1987 …2024

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  • 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 proceeding › Conference contribution

    1 Scopus citations
  • 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, M., 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 proceeding › Conference contribution

    25 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 proceeding › Conference contribution

    Open Access
    13 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 proceeding › Conference contribution

    16 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, M., 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 proceeding › Conference contribution

    11 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 proceeding › Conference contribution

    Open Access
    58 Scopus citations
  • 2018

    Learning deep ResNet blocks sequentially using boosting theory

    Huang, F., Ash, J. T., Langford, J. & Schapire, R. E., 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 proceeding › Conference contribution

    18 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 proceeding › Conference contribution

    27 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 proceeding › Conference contribution

    95 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 proceeding › Conference contribution

    Open Access
    33 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 proceeding › Conference contribution

    26 Scopus citations
  • 2015

    Collaborative place models

    Kapicioglu, B., Rosenberg, D. S., Schapire, R. E. & Jebara, T., 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 proceeding › Conference 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 proceeding › Conference 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 proceeding › Conference contribution

    134 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 proceeding › Conference contribution

    8 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 proceeding › Conference contribution

    Open Access
    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 proceeding › Conference contribution

    Open Access
    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 proceeding › Conference contribution

    Open Access
    2011 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 proceeding › Conference contribution

    49 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 proceeding › Conference contribution

    22 Scopus citations

  • Combining spatial and telemetric features for learning animal movement models

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

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • The convergence rate of AdaBoost

    Schapire, R. E., 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 proceeding › Conference 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 proceeding › Conference contribution

    172 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 proceeding › Conference contribution

    Open Access
    187 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 proceeding › Conference contribution

    45 Scopus citations
  • 2007

    Imitation learning with a value-based prior

    Syed, U. & Schapire, R. E., 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 proceeding › Conference contribution

    4 Scopus citations
  • 2006

    Algorithms for portfolio management based on the Newton method

    Agarwal, A., Hazan, E., Kale, S. & Schapire, R. E., 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 proceeding › Conference contribution

    62 Scopus citations

  • 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 proceeding › Conference contribution

    132 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 proceeding › Conference contribution

    77 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 proceeding › Conference contribution

    101 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 proceeding › Conference contribution

    32 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 proceeding › Conference contribution

    94 Scopus citations

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

    Lozano, A. C., Kulkarni, S. R. & Schapire, R. E., 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 proceeding › Conference contribution

    18 Scopus citations

  • Correcting sample selection bias in maximum entropy density estimation

    Dudík, M., Schapire, R. E. & Phillips, S. J., 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 proceeding › Conference contribution

    170 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 proceeding › Conference contribution

    41 Scopus citations
  • 2004

    A maximum entropy approach to species distribution modeling

    Phillips, S. J., Dudík, M. & Schapire, R. E., 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 proceeding › Conference contribution

    1689 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 proceeding › Conference contribution

    5 Scopus citations
  • 2002

    A generalization of principal component analysis to the exponential family

    Collins, M., Dasgupta, S. & Schapire, R. E., 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 proceeding › Conference contribution

    163 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 proceeding › Conference contribution

    Open Access
    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 proceeding › Conference contribution

    91 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 proceeding › Conference contribution

    72 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 proceeding › Conference contribution

    Open Access
    12 Scopus citations

  • Learning to order things

    Cohen, W. W., Schapire, R. E. & Singer, Y., 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 proceeding › Conference contribution

    159 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 proceeding › Conference contribution

    8 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 proceeding › Conference contribution

    2834 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 proceeding › Conference contribution

    Open Access
    13 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 proceeding › Conference contribution

    Open Access
    193 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 proceeding › Conference 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 proceeding › Conference contribution

    32 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 proceeding › Conference contribution

    73 Scopus citations