Projects per year
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Dive into the research topics where Robert E. Schapire is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 1 Finished
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RI: Small: Boosting, Optimality, and Game Theory
NSF - National Science Foundation
9/1/10 → 8/31/14
Project: Research project
Research Output
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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. 32Research output: Contribution to journal › Conference article › peer-review
2 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
6 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
2 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 proceeding › Conference contribution
5 Scopus citations