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20032019

Research output per year

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Projects

Research Output

Efficient full-matrix adaptive regularization

Agarwal, N., Bullins, B., Chen, X., Hazan, E., Singh, K., Zhang, C. & Zhang, Y., Jan 1 2019, 36th International Conference on Machine Learning, ICML 2019. International Machine Learning Society (IMLS), p. 139-147 9 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

Princeton University

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

Online control with adversarial disturbances

Agarwal, N., Bullins, B., Hazan, E., Kakade, S. M. & Singh, K., Jan 1 2019, 36th International Conference on Machine Learning, ICML 2019. International Machine Learning Society (IMLS), p. 154-165 12 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

Princeton University

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

Online learning of quantum states

Aaronson, S., Chen, X., Hazan, E., Kale, S. & Nayak, A., Dec 20 2019, In : Journal of Statistical Mechanics: Theory and Experiment. 2019, 12, 124019.

Princeton University

Research output: Contribution to journalArticle

Provably efficient maximum entropy exploration

Hazan, E., Kakade, S. M., Singh, K. & van Soest, A., Jan 1 2019, 36th International Conference on Machine Learning, ICML 2019. International Machine Learning Society (IMLS), p. 4774-4786 13 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

Princeton University

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

Hyperparameter optimization: A spectral approach

Hazan, E., Klivans, A. & Yuan, Y., Jan 1 2018.

Princeton University

Research output: Contribution to conferencePaper