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MAX SIMCHOWITZ
MAX SIMCHOWITZ
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Titel
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Gradient descent only converges to minimizers
JD Lee, M Simchowitz, MI Jordan, B Recht
Conference on learning theory, 1246-1257, 2016
6712016
Delayed impact of fair machine learning
LT Liu, S Dean, E Rolf, M Simchowitz, M Hardt
International Conference on Machine Learning, 3150-3158, 2018
4882018
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
4112016
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
3372018
First-order methods almost always avoid strict saddle points
JD Lee, I Panageas, G Piliouras, M Simchowitz, MI Jordan, B Recht
Mathematical programming 176, 311-337, 2019
3342019
Reward-free exploration for reinforcement learning
C Jin, A Krishnamurthy, M Simchowitz, T Yu
International Conference on Machine Learning, 4870-4879, 2020
2142020
Gradient descent converges to minimizers
JD Lee, M Simchowitz, MI Jordan, B Recht
arXiv preprint arXiv:1602.04915, 2016
1972016
Naive exploration is optimal for online lqr
M Simchowitz, D Foster
International Conference on Machine Learning, 8937-8948, 2020
1842020
Non-asymptotic gap-dependent regret bounds for tabular mdps
M Simchowitz, KG Jamieson
Advances in Neural Information Processing Systems 32, 2019
1512019
Improper learning for non-stochastic control
M Simchowitz, K Singh, E Hazan
Conference on Learning Theory, 3320-3436, 2020
1402020
Learning linear dynamical systems with semi-parametric least squares
M Simchowitz, R Boczar, B Recht
Conference on Learning Theory, 2714-2802, 2019
1232019
Corruption-robust exploration in episodic reinforcement learning
T Lykouris, M Simchowitz, A Slivkins, W Sun
Conference on Learning Theory, 3242-3245, 2021
1032021
The implicit fairness criterion of unconstrained learning
LT Liu, M Simchowitz, M Hardt
International Conference on Machine Learning, 4051-4060, 2019
812019
The simulator: Understanding adaptive sampling in the moderate-confidence regime
M Simchowitz, K Jamieson, B Recht
Conference on Learning Theory, 1794-1834, 2017
712017
Logarithmic regret for adversarial online control
D Foster, M Simchowitz
International Conference on Machine Learning, 3211-3221, 2020
682020
Do differentiable simulators give better policy gradients?
HJ Suh, M Simchowitz, K Zhang, R Tedrake
International Conference on Machine Learning, 20668-20696, 2022
592022
Reward-free rl is no harder than reward-aware rl in linear markov decision processes
AJ Wagenmaker, Y Chen, M Simchowitz, S Du, K Jamieson
International Conference on Machine Learning, 22430-22456, 2022
502022
Constrained episodic reinforcement learning in concave-convex and knapsack settings
K Brantley, M Dudik, T Lykouris, S Miryoosefi, M Simchowitz, A Slivkins, ...
Advances in Neural Information Processing Systems 33, 16315-16326, 2020
472020
Bayesian decision-making under misspecified priors with applications to meta-learning
M Simchowitz, C Tosh, A Krishnamurthy, DJ Hsu, T Lykouris, M Dudik, ...
Advances in Neural Information Processing Systems 34, 26382-26394, 2021
452021
Approximate ranking from pairwise comparisons
R Heckel, M Simchowitz, K Ramchandran, M Wainwright
International Conference on Artificial Intelligence and Statistics, 1057-1066, 2018
432018
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Artikelen 1–20