Robert E. Schapire

Computer Science

Source: Scopus
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1 Finished

RI: Small: Boosting, Optimality, and Game Theory
Schapire, R. E.
NSF - National Science Foundation
9/1/10 → 8/31/14
Project: Research project

49628 Citations
59 h-Index
52 Conference contribution
48 Article
32 Conference article
7 Paper
More

Oracle-efficient Online Learning and Auction Design
Dudíte;k, M., Haghtalab, N., Luo, H., Schapire, R. E., Syrgkanis, V. & Vaughan, J. W., Oct 2020, In: Journal of the ACM. 67, 5, 26.
Research output: Contribution to journal › Article › peer-review
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
2 Scopus citations
Reinforcement learning with convex constraints
Miryoosefi, S., Brantley, K., Daumé, H., Dudík, M. & Schapire, R. E., 2019, In: Advances in Neural Information Processing Systems. 32
Research output: Contribution to journal › Conference article › peer-review
4 Scopus citations
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 proceeding › Conference contribution
7 Scopus citations
On oracle-efficient PAC RL with rich observations
Dann, C., Jiang, N., Krishnamurthy, A., Agarwal, A., Langford, J. & Schapire, R. E., Jan 1 2018, In: Advances in Neural Information Processing Systems. 2018-December, p. 1422-1432 11 p.
Research output: Contribution to journal › Conference article › peer-review
5 Scopus citations

RI: Small: Boosting, Optimality, and Game Theory

Oracle-efficient Online Learning and Auction Design

Adversarial bandits with knapsacks

Reinforcement learning with convex constraints

Learning deep ResNet blocks sequentially using boosting theory

On oracle-efficient PAC RL with rich observations