متابعة
Noah Golowich
Noah Golowich
MIT
بريد إلكتروني تم التحقق منه على mit.edu - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Size-independent sample complexity of neural networks‏
N Golowich, A Rakhlin, O Shamir‏
Conference On Learning Theory, 297-299, 2018‏
6572018
A convergence analysis of gradient descent for deep linear neural networks‏
S Arora, N Cohen, N Golowich, W Hu‏
arXiv preprint arXiv:1810.02281, 2018‏
3042018
Independent policy gradient methods for competitive reinforcement learning‏
C Daskalakis, DJ Foster, N Golowich‏
Advances in neural information processing systems 33, 5527-5540, 2020‏
2052020
Deep learning with label differential privacy‏
B Ghazi, N Golowich, R Kumar, P Manurangsi, C Zhang‏
Advances in neural information processing systems 34, 27131-27145, 2021‏
1772021
Last iterate is slower than averaged iterate in smooth convex-concave saddle point problems‏
N Golowich, S Pattathil, C Daskalakis, A Ozdaglar‏
Conference on Learning Theory, 1758-1784, 2020‏
1202020
Near-optimal no-regret learning in general games‏
C Daskalakis, M Fishelson, N Golowich‏
Advances in Neural Information Processing Systems 34, 27604-27616, 2021‏
1162021
On the power of multiple anonymous messages: Frequency estimation and selection in the shuffle model of differential privacy‏
B Ghazi, N Golowich, R Kumar, R Pagh, A Velingker‏
Annual International Conference on the Theory and Applications of …, 2021‏
1062021
Tight last-iterate convergence rates for no-regret learning in multi-player games‏
N Golowich, S Pattathil, C Daskalakis‏
34th Conference on Neural Information Processing Systems (NeurIPS 2020), 2020‏
1012020
Deep Learning for Multi-Facility Location Mechanism Design.‏
N Golowich, H Narasimhan, DC Parkes‏
IJCAI, 261-267, 2018‏
942018
The complexity of markov equilibrium in stochastic games‏
C Daskalakis, N Golowich, K Zhang‏
The Thirty Sixth Annual Conference on Learning Theory, 4180-4234, 2023‏
802023
Near-optimal no-regret learning for correlated equilibria in multi-player general-sum games‏
I Anagnostides, C Daskalakis, G Farina, M Fishelson, N Golowich, ...‏
Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing …, 2022‏
722022
Pure differentially private summation from anonymous messages‏
B Ghazi, N Golowich, R Kumar, P Manurangsi, R Pagh, A Velingker‏
arXiv preprint arXiv:2002.01919, 2020‏
532020
Smoothed online learning is as easy as statistical learning‏
A Block, Y Dagan, N Golowich, A Rakhlin‏
Conference on Learning Theory, 1716-1786, 2022‏
492022
Planning and learning in partially observable systems via filter stability‏
N Golowich, A Moitra, D Rohatgi‏
Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 349-362, 2023‏
40*2023
Learning in observable pomdps, without computationally intractable oracles‏
N Golowich, A Moitra, D Rohatgi‏
Advances in neural information processing systems 35, 1458-1473, 2022‏
392022
Tight guarantees for interactive decision making with the decision-estimation coefficient‏
DJ Foster, N Golowich, Y Han‏
The Thirty Sixth Annual Conference on Learning Theory, 3969-4043, 2023‏
362023
Sample-efficient proper PAC learning with approximate differential privacy‏
B Ghazi, N Golowich, R Kumar, P Manurangsi‏
Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing …, 2021‏
312021
Model-free reinforcement learning with the decision-estimation coefficient‏
DJ Foster, N Golowich, J Qian, A Rakhlin, A Sekhari‏
Advances in Neural Information Processing Systems 36, 2024‏
26*2024
Fast rates for nonparametric online learning: from realizability to learning in games‏
C Daskalakis, N Golowich‏
Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing …, 2022‏
242022
From External to Swap Regret 2.0: An Efficient Reduction for Large Action Spaces‏
Y Dagan, C Daskalakis, M Fishelson, N Golowich‏
Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 1216-1222, 2024‏
202024
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مقالات 1–20