Elad Hazan
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Elad Hazan

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20032024

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  • 2022

    A Boosting Approach to Reinforcement Learning

    Brukhim, N., Hazan, E. & Singh, K., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    3 Scopus citations

  • Non-convex online learning via algorithmic equivalence

    Ghai, U., Lu, Z. & Hazan, E., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2021

    A Regret Minimization Approach to Iterative Learning Control

    Agarwal, N., Hazan, E., Majumdar, A. & Singh, K., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. ML Research Press, p. 100-109 10 p. (Proceedings of Machine Learning Research; vol. 139).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    10 Scopus citations

  • Boosting for Online Convex Optimization

    Hazan, E. & Singh, K., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. ML Research Press, p. 4140-4149 10 p. (Proceedings of Machine Learning Research; vol. 139).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    4 Scopus citations

  • 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

    Open Access
    11 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, M., 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

    7 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, M., 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

    16 Scopus citations
  • 2020

    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

    6 Scopus citations
  • 2019

    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).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    16 Scopus citations

  • 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).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    70 Scopus citations

  • 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).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    60 Scopus citations
  • 2018

    On the optimization of deep networks: Implicit acceleration by overparameterization

    Arora, S., Cohen, N. & Hazan, E., 2018, 35th International Conference on Machine Learning, ICML 2018. Krause, A. & Dy, J. (eds.). International Machine Learning Society (IMLS), p. 372-389 18 p. (35th International Conference on Machine Learning, ICML 2018; vol. 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    129 Scopus citations
  • 2017

    Efficient regret minimization in non-convex games

    Hazan, E., Singh, K. & Zhang, C., 2017, 34th International Conference on Machine Learning, ICML 2017. International Machine Learning Society (IMLS), p. 2278-2288 11 p. (34th International Conference on Machine Learning, ICML 2017; vol. 3).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    21 Scopus citations

  • Finding approximate local minima faster than gradient descent

    Agarwal, N., Allen-Zhu, Z., Bullins, B., Hazan, E. & Ma, T., Jun 19 2017, STOC 2017 - Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing. McKenzie, P., King, V. & Hatami, H. (eds.). Association for Computing Machinery, p. 1195-1199 5 p. (Proceedings of the Annual ACM Symposium on Theory of Computing; vol. Part F128415).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    135 Scopus citations
  • 2016

    Faster convex optimization: Simulated annealing with an efficient universal barrier

    Abernethy, J. & Hazan, E., 2016, 33rd International Conference on Machine Learning, ICML 2016. Weinberger, K. Q. & Balcan, M. F. (eds.). International Machine Learning Society (IMLS), p. 3734-3746 13 p. (33rd International Conference on Machine Learning, ICML 2016; vol. 6).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    4 Scopus citations

  • Faster eigenvector computation via shift-and-invert preconditioning

    Garber, D., Hazan, E., Jin, C., Kakade, S. M., Musco, C., Netrapalli, P. & Sidford, A., 2016, 33rd International Conference on Machine Learning, ICML 2016. Weinberger, K. Q. & Balcan, M. F. (eds.). International Machine Learning Society (IMLS), p. 3886-3894 9 p. (33rd International Conference on Machine Learning, ICML 2016; vol. 6).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    14 Scopus citations

  • On graduated optimization for stochastic non-convex problems

    Hazan, E., Levy, K. Y. & Shalev-Shwartz, S., 2016, 33rd International Conference on Machine Learning, ICML 2016. Weinberger, K. Q. & Balcan, M. F. (eds.). International Machine Learning Society (IMLS), p. 2726-2739 14 p. (33rd International Conference on Machine Learning, ICML 2016; vol. 4).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    25 Scopus citations

  • The computational power of optimization in online learning

    Hazan, E. & Koren, T., Jun 19 2016, STOC 2016 - Proceedings of the 48th Annual ACM SIGACT Symposium on Theory of Computing. Mansour, Y. & Wichs, D. (eds.). Association for Computing Machinery, p. 128-141 14 p. (Proceedings of the Annual ACM Symposium on Theory of Computing; vol. 19-21-June-2016).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    42 Scopus citations

  • Variance-reduced and projection-free stochastic optimization

    Hazan, E. & Luo, H., 2016, 33rd International Conference on Machine Learning, ICML 2016. Weinberger, K. Q. & Balcan, M. F. (eds.). International Machine Learning Society (IMLS), p. 1926-1936 11 p. (33rd International Conference on Machine Learning, ICML 2016; vol. 3).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    32 Scopus citations

  • Variance reduction for faster non-convex optimization

    Allen-Zhu, Z. & Hazan, E., 2016, 33rd International Conference on Machine Learning, ICML 2016. Balcan, M. F. & Weinberger, K. Q. (eds.). International Machine Learning Society (IMLS), p. 1093-1101 9 p. (33rd International Conference on Machine Learning, ICML 2016; vol. 2).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    99 Scopus citations
  • 2015

    Classification with low rank and missing data

    Hazan, E., Livni, R. & Mansour, Y., 2015, 32nd International Conference on Machine Learning, ICML 2015. Blei, D. & Bach, F. (eds.). International Machine Learning Society (IMLS), p. 257-266 10 p. (32nd International Conference on Machine Learning, ICML 2015; vol. 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    36 Scopus citations

  • Faster rates for the frank-Wolfe method over strongly-convex sets

    Garber, D. & Hazan, E., 2015, 32nd International Conference on Machine Learning, ICML 2015. Bach, F. & Blei, D. (eds.). International Machine Learning Society (IMLS), p. 541-549 9 p. (32nd International Conference on Machine Learning, ICML 2015; vol. 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    110 Scopus citations

  • Online learning of eigenvectors

    Garber, D., Hazan, E. & Ma, T., 2015, 32nd International Conference on Machine Learning, ICML 2015. Bach, F. & Blei, D. (eds.). International Machine Learning Society (IMLS), p. 560-568 9 p. (32nd International Conference on Machine Learning, ICML 2015; vol. 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    25 Scopus citations

  • Online time series prediction with missing data

    Anava, O., Hazan, E. & Zeevi, A., 2015, 32nd International Conference on Machine Learning, ICML 2015. Bach, F. & Blei, D. (eds.). International Machine Learning Society (IMLS), p. 2181-2189 9 p. (32nd International Conference on Machine Learning, ICML 2015; vol. 3).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    50 Scopus citations
  • 2014

    Hard-margin active linear regression

    Hazan, E. & Karnin, Z., 2014, 31st International Conference on Machine Learning, ICML 2014. International Machine Learning Society (IMLS), p. 2492-2500 9 p. (31st International Conference on Machine Learning, ICML 2014; vol. 3).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    2 Scopus citations
  • 2013

    Playing non-linear games with linear oracles

    Garber, D. & Hazan, E., 2013, Proceedings - 2013 IEEE 54th Annual Symposium on Foundations of Computer Science, FOCS 2013. p. 420-428 9 p. 6686178. (Proceedings - Annual IEEE Symposium on Foundations of Computer Science, FOCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    22 Scopus citations
  • 2012

    A provably efficient simplex algorithm for classification

    Hazan, E. & Karnin, Z., 2012, Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012, NIPS 2012. p. 629-637 9 p. (Advances in Neural Information Processing Systems; vol. 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Linear regression with limited observation

    Hazan, E. & Koren, T., 2012, Proceedings of the 29th International Conference on Machine Learning, ICML 2012. p. 807-814 8 p. (Proceedings of the 29th International Conference on Machine Learning, ICML 2012; vol. 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    22 Scopus citations

  • Projection-free online learning

    Hazan, E. & Kale, S., 2012, Proceedings of the 29th International Conference on Machine Learning, ICML 2012. p. 521-528 8 p. (Proceedings of the 29th International Conference on Machine Learning, ICML 2012; vol. 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    107 Scopus citations
  • 2011

    Approximating semidefinite programs in sublinear time

    Garber, D. & Hazan, E., 2011, Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011. Neural Information Processing Systems, (Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    22 Scopus citations

  • Beating SGD: Learning SVMs in sublinear time

    Hazan, E., Koren, T. & Srebro, N., 2011, Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011. Neural Information Processing Systems, (Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    40 Scopus citations

  • NEWTRON: An efficient bandit algorithm for online multiclass prediction

    Hazan, E. & Kale, S., 2011, Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011. Neural Information Processing Systems, (Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    33 Scopus citations
  • 2010

    Adaptive subgradient methods for online learning and stochastic optimization

    Duchi, J., Hazan, E. & Singer, Y., 2010, COLT 2010 - The 23rd Conference on Learning Theory. p. 257-269 13 p. (COLT 2010 - The 23rd Conference on Learning Theory).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    360 Scopus citations

  • Learning rotations with little regret

    Hazan, E., Kale, S. & Warmuth, M. K., 2010, COLT 2010 - The 23rd Conference on Learning Theory. p. 144-154 11 p. (COLT 2010 - The 23rd Conference on Learning Theory).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    13 Scopus citations

  • On-line variance minimization in O(n2) per trial?

    Hazan, E., Kale, S. & Warmuth, M. K., 2010, COLT 2010 - The 23rd Conference on Learning Theory. p. 314-315 2 p. (COLT 2010 - The 23rd Conference on Learning Theory).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    6 Scopus citations

  • Sublinear optimization for machine learning

    Clarkson, K. L., Hazan, E. & Woodruff, D. P., 2010, Proceedings - 2010 IEEE 51st Annual Symposium on Foundations of Computer Science, FOCS 2010. IEEE Computer Society, p. 449-457 9 p. 5671238. (Proceedings - Annual IEEE Symposium on Foundations of Computer Science, FOCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    24 Scopus citations
  • 2009

    Better algorithms for benign bandits

    Hazan, E. & Kale, S., 2009, Proceedings of the 20th Annual ACM-SIAM Symposium on Discrete Algorithms. Association for Computing Machinery (ACM), p. 38-47 10 p. (Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    24 Scopus citations

  • Efficient learning algorithms for changing environments

    Hazan, E. & Seshadhri, C., 2009, Proceedings of the 26th International Conference On Machine Learning, ICML 2009. p. 393-400 8 p. (Proceedings of the 26th International Conference On Machine Learning, ICML 2009).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    110 Scopus citations

  • Efficient learning algorithms for changing environments

    Hazan, E. & Seshadhri, C., 2009, Proceedings of the 26th Annual International Conference on Machine Learning, ICML'09. 50. (ACM International Conference Proceeding Series; vol. 382).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    16 Scopus citations

  • How hard is it to approximate the best Nash equilibrium?

    Hazan, E. & Krauthgamer, R., 2009, Proceedings of the 20th Annual ACM-SIAM Symposium on Discrete Algorithms. Association for Computing Machinery, p. 720-727 8 p. (Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    12 Scopus citations

  • Online submodular minimization

    Hazan, E. & Kale, S., 2009, Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. Neural Information Processing Systems, p. 700-708 9 p. (Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    17 Scopus citations

  • On stochastic and worst-case models for investing

    Hazan, E. & Kale, S., 2009, Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. Neural Information Processing Systems, p. 709-717 9 p. (Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    23 Scopus citations
  • 2008

    Adaptive online gradient descent

    Bartlett, P. L., Hazan, E. & Rakhlin, A., 2008, Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference. Neural Information Processing Systems, (Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    93 Scopus citations

  • Computational equivalence of fixed points and no regret algorithms, and convergence to equilibria

    Hazan, E. & Kale, S., 2008, Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference. Neural Information Processing Systems, (Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    9 Scopus citations

  • Sparse approximate solutions to semidefinite programs

    Hazan, E., 2008, LATIN 2008: Theoretical Informatics - 8th Latin American Symposium, Proceedings. p. 306-316 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4957 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    93 Scopus citations
  • 2007

    Online learning with prior knowledge

    Hazan, E. & Megiddo, N., 2007, Learning Theory - 20th Annual Conference on Learning Theory, COLT 2007, Proceedings. Springer Verlag, p. 499-513 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4539 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    54 Scopus citations
  • 2006

    A fast random sampling algorithm for sparsifying matrices

    Arora, S., Hazan, E. & Kale, S., 2006, Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques - 9th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2006 a. Springer Verlag, p. 272-279 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4110 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    57 Scopus citations

  • Algorithms for portfolio management based on the Newton method

    Agarwal, A., Hazan, E., Kale, S. & Schapire, R. E., 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 proceeding › Conference contribution

    125 Scopus citations

  • Algorithms for portfolio management based on the Newton method

    Agarwal, A., Hazan, E., Kale, S. & Schapire, R. E., 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 proceeding › Conference contribution

    62 Scopus citations

  • Logarithmic regret algorithms for online convex optimization

    Hazan, E., Kalai, A., Kale, S. & Agarwal, A., 2006, Learning Theory - 19th Annual Conference on Learning Theory, COLT 2006, Proceedings. Springer Verlag, p. 499-513 15 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 proceeding › Conference contribution

    74 Scopus citations