MAX SIMCHOWITZ
Title
Cited by
Cited by
Year
Gradient descent only converges to minimizers
JD Lee, M Simchowitz, MI Jordan, B Recht
Conference on learning theory, 1246-1257, 2016
3552016
Low-rank solutions of linear matrix equations via procrustes flow
S Tu, R Boczar, M Simchowitz, M Soltanolkotabi, B Recht
International Conference on Machine Learning, 964-973, 2016
2652016
Gradient descent converges to minimizers
JD Lee, M Simchowitz, MI Jordan, B Recht
arXiv preprint arXiv:1602.04915, 2016
1482016
Delayed impact of fair machine learning
LT Liu, S Dean, E Rolf, M Simchowitz, M Hardt
arXiv preprint arXiv:1803.04383, 2018
1452018
Learning without mixing: Towards a sharp analysis of linear system identification
M Simchowitz, H Mania, S Tu, MI Jordan, B Recht
arXiv preprint arXiv:1802.08334, 2018
1022018
First-order methods almost always avoid saddle points
JD Lee, I Panageas, G Piliouras, M Simchowitz, MI Jordan, B Recht
arXiv preprint arXiv:1710.07406, 2017
962017
First-order methods almost always avoid strict saddle points
JD Lee, I Panageas, G Piliouras, M Simchowitz, MI Jordan, B Recht
Mathematical programming 176 (1-2), 311-337, 2019
472019
Learning linear dynamical systems with semi-parametric least squares
M Simchowitz, R Boczar, B Recht
arXiv preprint arXiv:1902.00768, 2019
352019
The simulator: Understanding adaptive sampling in the moderate-confidence regime
M Simchowitz, K Jamieson, B Recht
arXiv preprint arXiv:1702.05186, 2017
312017
Non-asymptotic gap-dependent regret bounds for tabular mdps
M Simchowitz, KG Jamieson
Advances in Neural Information Processing Systems, 1153-1162, 2019
292019
Naive exploration is optimal for online lqr
M Simchowitz, DJ Foster
arXiv preprint arXiv:2001.09576, 2020
162020
Approximate ranking from pairwise comparisons
R Heckel, M Simchowitz, K Ramchandran, MJ Wainwright
arXiv preprint arXiv:1801.01253, 2018
152018
Tiancheng Yu. Reward-free exploration for reinforcement learning
C Jin, A Krishnamurthy, M Simchowitz
arXiv preprint arXiv:2002.02794, 2020
132020
Improper learning for non-stochastic control
M Simchowitz, K Singh, E Hazan
arXiv preprint arXiv:2001.09254, 2020
122020
The implicit fairness criterion of unconstrained learning
LT Liu, M Simchowitz, M Hardt
International Conference on Machine Learning, 4051-4060, 2019
122019
Corruption robust exploration in episodic reinforcement learning
T Lykouris, M Simchowitz, A Slivkins, W Sun
arXiv preprint arXiv:1911.08689, 2019
112019
Tight query complexity lower bounds for PCA via finite sample deformed Wigner law
M Simchowitz, A El Alaoui, B Recht
Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing …, 2018
102018
Best-of-k-bandits
M Simchowitz, K Jamieson, B Recht
Conference on Learning Theory, 1440-1489, 2016
102016
Zero-inflated Poisson factorization for recommendation systems
M Simchowitz
Junior Independent Work (advised by D. Blei), Princeton University …, 2013
92013
Logarithmic regret for adversarial online control
DJ Foster, M Simchowitz
arXiv preprint arXiv:2003.00189, 2020
72020
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Articles 1–20