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
4742016
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
3152016
Delayed impact of fair machine learning
LT Liu, S Dean, E Rolf, M Simchowitz, M Hardt
International Conference on Machine Learning, 3150-3158, 2018
2532018
Gradient descent converges to minimizers
JD Lee, M Simchowitz, MI Jordan, B Recht
arXiv preprint arXiv:1602.04915, 2016
1742016
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
1612018
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
1152017
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
1002019
Non-asymptotic gap-dependent regret bounds for tabular MDPs
M Simchowitz, KG Jamieson
Advances in Neural Information Processing Systems 32, 1153-1162, 2019
682019
Naive exploration is optimal for online lqr
M Simchowitz, D Foster
International Conference on Machine Learning, 8937-8948, 2020
532020
Learning linear dynamical systems with semi-parametric least squares
M Simchowitz, R Boczar, B Recht
Conference on Learning Theory, 2714-2802, 2019
532019
Reward-free exploration for reinforcement learning
C Jin, A Krishnamurthy, M Simchowitz, T Yu
International Conference on Machine Learning, 4870-4879, 2020
522020
Improper learning for non-stochastic control
M Simchowitz, K Singh, E Hazan
Conference on Learning Theory, 3320-3436, 2020
442020
Corruption-robust exploration in episodic reinforcement learning
T Lykouris, M Simchowitz, A Slivkins, W Sun
Conference on Learning Theory, 3242-3245, 2021
412021
The simulator: Understanding adaptive sampling in the moderate-confidence regime
M Simchowitz, K Jamieson, B Recht
Conference on Learning Theory, 1794-1834, 2017
412017
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
242019
Approximate ranking from pairwise comparisons
R Heckel, M Simchowitz, K Ramchandran, M Wainwright
International Conference on Artificial Intelligence and Statistics, 1057-1066, 2018
192018
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
162018
Best-of-k-bandits
M Simchowitz, K Jamieson, B Recht
Conference on Learning Theory, 1440-1489, 2016
162016
Balancing competing objectives with noisy data: Score-based classifiers for welfare-aware machine learning
E Rolf, M Simchowitz, S Dean, LT Liu, D Bjorkegren, M Hardt, ...
International Conference on Machine Learning, 8158-8168, 2020
112020
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Articles 1–20