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
4512016
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
3092016
Delayed impact of fair machine learning
LT Liu, S Dean, E Rolf, M Simchowitz, M Hardt
International Conference on Machine Learning, 3150-3158, 2018
2312018
Gradient descent converges to minimizers
JD Lee, M Simchowitz, MI Jordan, B Recht
arXiv preprint arXiv:1602.04915, 2016
1682016
Learning without mixing: Towards a sharp analysis of linear system identification
M Simchowitz, H Mania, S Tu, MI Jordan, B Recht
Conference On Learning Theory, 439-473, 2018
1542018
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
1102017
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), 311-337, 2019
912019
Non-asymptotic gap-dependent regret bounds for tabular MDPs
M Simchowitz, KG Jamieson
Advances in Neural Information Processing Systems 32, 1153-1162, 2019
622019
Learning linear dynamical systems with semi-parametric least squares
M Simchowitz, R Boczar, B Recht
Conference on Learning Theory, 2714-2802, 2019
512019
Naive exploration is optimal for online lqr
M Simchowitz, D Foster
International Conference on Machine Learning, 8937-8948, 2020
492020
Reward-free exploration for reinforcement learning
C Jin, A Krishnamurthy, M Simchowitz, T Yu
International Conference on Machine Learning, 4870-4879, 2020
452020
Improper learning for non-stochastic control
M Simchowitz, K Singh, E Hazan
Conference on Learning Theory, 3320-3436, 2020
422020
The simulator: Understanding adaptive sampling in the moderate-confidence regime
M Simchowitz, K Jamieson, B Recht
Conference on Learning Theory, 1794-1834, 2017
402017
Corruption-robust exploration in episodic reinforcement learning
T Lykouris, M Simchowitz, A Slivkins, W Sun
Conference on Learning Theory, 3242-3245, 2021
322021
Logarithmic regret for adversarial online control
D Foster, M Simchowitz
International Conference on Machine Learning, 3211-3221, 2020
252020
The implicit fairness criterion of unconstrained learning
LT Liu, M Simchowitz, M Hardt
International Conference on Machine Learning, 4051-4060, 2019
192019
Approximate ranking from pairwise comparisons
R Heckel, M Simchowitz, K Ramchandran, M Wainwright
International Conference on Artificial Intelligence and Statistics, 1057-1066, 2018
192018
Best-of-k-bandits
M Simchowitz, K Jamieson, B Recht
Conference on Learning Theory, 1440-1489, 2016
152016
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
142018
On the gap between strict-saddles and true convexity: An omega (log d) lower bound for eigenvector approximation
M Simchowitz, AE Alaoui, B Recht
arXiv preprint arXiv:1704.04548, 2017
102017
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Articles 1–20