Robert E. Schapire

  • Source: Scopus
  • Calculated based on no. of publications stored in Pure and citations from Scopus
1987 …2019

Research output per year

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

Search results

  • 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

    3 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

    10 Scopus citations
  • Practical Contextual Bandits with Regression Oracles

    Foster, D. J., Agarwal, A., Dudik, M., Haipeng, L. & 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. 2482-2517 36 p. (35th International Conference on Machine Learning, ICML 2018; vol. 4).

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

    7 Scopus citations
  • 2017

    Contextual decision processes with low Bellman rank are PAC-learnable

    Jiang, N., Krishnamurthy, A., Agarwal, A., Langford, J. & Schapire, R. E., Jan 1 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

    15 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

    16 Scopus citations
  • 2016

    Efficient algorithms for adversarial contextual learning

    Syrgkanis, V., Krishnamurthy, A. & Schapire, R. E., Jan 1 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

    19 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., Jan 1 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., Jan 1 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

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

    Luo, H. & Schapire, R. E., Jan 1 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

    5 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

    940 Scopus citations
  • A reduction from apprenticeship learning to classification

    Syed, U. & Schapire, R. E., Dec 1 2010, Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010. (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

    29 Scopus citations
  • A theory of multiclass boosting

    Mukherjee, I. & Schapire, R. E., Dec 1 2010, Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010. (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

    22 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

    11 Scopus citations
  • 2009

    A game-theoretic approach to apprenticeship learning

    Syed, U. & Schapire, R. E., Dec 1 2009, Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference. (Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference).

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

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

    Bradley, J. K. & Schapire, R. E., Dec 1 2009, Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference. (Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference).

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

    46 Scopus citations
  • 2008

    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

    102 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

    2 Scopus citations
  • 2006

    Algorithms for portfolio management based on the Newton method

    Agarwal, A., Hazan, E., Kale, S. & Schapire, R. E., Dec 1 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

    58 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

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

    Reyzin, L. & Schapire, R. E., Oct 6 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

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

    Reyzin, L. & Schapire, R. E., Dec 1 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

    73 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

    25 Scopus citations
  • 2005

    Adding dense, weighted connections to WordNet

    Boyd-Graber, J., Fellbaum, C., Osherson, D. & Schapire, R., Jan 1 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

    71 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

    102 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

    30 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

    991 Scopus citations
  • On the dynamics of boosting

    Rudin, C., Daubechies, I. & Schapire, R. E., Jan 1 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

    142 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., Jan 1 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

    81 Scopus citations
  • Theoretical views of boosting

    Schapire, R. E., Jan 1 1999, Computational Learning Theory - 4th European Conference, EuroCOLT 1999, Proceedings. Simon, H. U. & Fischer, P. (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

    63 Scopus citations
  • 1998

    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

    135 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., Jan 1 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

    2226 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

    9 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

    156 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

    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 proceedingConference contribution

    64 Scopus citations
  • Learning sparse multivariate polynomials over a field with queries and counterexamples

    Schapire, R. E. & Sellie, L. M., Dec 1 1993, Proc 6 Annu ACM Conf Comput Learn Theory. Anon (ed.). Publ by ACM, p. 17-26 10 p. (Proc 6 Annu ACM Conf Comput Learn Theory).

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

    25 Scopus citations
  • 1992

    Toward efficient agnostic learning

    Kearns, M. J., Schapire, R. E. & Sellie, L. M., 1992, Proceedings of the Fifth Annual ACM Workshop on Computational Learning Theory. Publ by ACM, p. 341-352 12 p. (Proceedings of the Fifth Annual ACM Workshop on Computational Learning Theory).

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

    59 Scopus citations
  • 1990

    Efficient distribution-free learning of probabilistic concepts (abstract)

    Kearns, M. J. & Schapire, R. E., Jul 1 1990, Proceedings of the 3rd Annual Workshop on Computational Learning Theory, COLT 1990. Association for Computing Machinery, Inc, 1 p. (Proceedings of the 3rd Annual Workshop on Computational Learning Theory, COLT 1990).

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

    4 Scopus citations
  • Exact identification of circuits using fixed points of amplification functions (abstract)

    Goldman, S. A., Kearns, M. J. & Schapire, R. E., Jul 1 1990, Proceedings of the 3rd Annual Workshop on Computational Learning Theory, COLT 1990. Association for Computing Machinery, Inc, 1 p. (Proceedings of the 3rd Annual Workshop on Computational Learning Theory, COLT 1990).

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

    8 Scopus citations
  • On the sample complexity of weak learning

    Goldman, S. A., Kearns, M. J. & Schapire, R. E., Jul 1 1990, Proceedings of the 3rd Annual Workshop on Computational Learning Theory, COLT 1990. Association for Computing Machinery, Inc, p. 217-231 15 p. (Proceedings of the 3rd Annual Workshop on Computational Learning Theory, COLT 1990).

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

    4 Scopus citations
  • Pattern languages are not learnable

    Schapire, R. E., Jul 1 1990, Proceedings of the 3rd Annual Workshop on Computational Learning Theory, COLT 1990. Association for Computing Machinery, Inc, p. 122-129 8 p. (Proceedings of the 3rd Annual Workshop on Computational Learning Theory, COLT 1990).

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

    17 Scopus citations
  • 1989

    Inference of finite automata using homing sequences

    Rivest, R. L. & Schapire, R. E., Jan 1 1989, Proc Twenty First Annu ACM Symp Theory Comput. Publ by ACM, p. 411-420 10 p. (Proc Twenty First Annu ACM Symp Theory Comput).

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

    69 Scopus citations
  • Learning binary relations and total orders

    Goldman, S. A., Rivest, R. L. & Schapire, R. E., 1989, Annual Symposium on Foundations of Computer Science (Proceedings). Publ by IEEE, p. 46-51 6 p. (Annual Symposium on Foundations of Computer Science (Proceedings)).

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

    12 Scopus citations