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Dive into the research topics where Elad Hazan is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborative Research: Foundations of Deep Learning: Theory, Robustness, and the Brain
NSF - National Science Foundation
12/1/21 → 11/30/24
Project: Research project
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RI: SMALL: Efficient Projection-Free Algorithms for Optimization and Online Learning
NSF - National Science Foundation
9/1/15 → 8/31/18
Project: Research project
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Boosting simple learners
Alon, N., Gonen, A., Hazan, E. & Moran, S., 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. 481-489 9 p. (Proceedings of the Annual ACM Symposium on Theory of Computing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2 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 proceeding › Conference contribution
2 Scopus citations -
Online Control of Unknown Time-Varying Dynamical Systems
Minasyan, E., Gradu, P., Simchowitz, M. & Hazan, 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. 15934-15945 12 p. (Advances in Neural Information Processing Systems; vol. 19).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
Boosting for control of dynamical systems
Agarwal, N., Brukhim, N., Hazan, E. & Lu, Z., 2020, 37th International Conference on Machine Learning, ICML 2020. Daume, H. & Singh, A. (eds.). International Machine Learning Society (IMLS), p. 84-91 8 p. (37th International Conference on Machine Learning, ICML 2020; vol. PartF168147-1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
Geometric exploration for online control
Plevrakis, O. & Hazan, E., 2020, In: Advances in Neural Information Processing Systems. 2020-DecemberResearch output: Contribution to journal › Conference article › peer-review