| Size-independent sample complexity of neural networks N Golowich, A Rakhlin, O Shamir Conference On Learning Theory, 297-299, 2018 | 634 | 2018 |
| 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 | 296 | 2018 |
| Independent policy gradient methods for competitive reinforcement learning C Daskalakis, DJ Foster, N Golowich Advances in neural information processing systems 33, 5527-5540, 2020 | 202 | 2020 |
| 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 | 170 | 2021 |
| 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 | 117 | 2020 |
| Near-optimal no-regret learning in general games C Daskalakis, M Fishelson, N Golowich Advances in Neural Information Processing Systems 34, 27604-27616, 2021 | 115 | 2021 |
| 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 | 105 | 2021 |
| 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 | 97 | 2020 |
| Deep Learning for Multi-Facility Location Mechanism Design. N Golowich, H Narasimhan, DC Parkes IJCAI, 261-267, 2018 | 89 | 2018 |
| 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 | 78 | 2023 |
| 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 | 70 | 2022 |
| 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 | 50 | 2020 |
| Smoothed online learning is as easy as statistical learning A Block, Y Dagan, N Golowich, A Rakhlin Conference on Learning Theory, 1716-1786, 2022 | 48 | 2022 |
| 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 | 37 | 2022 |
| 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 | 35 | 2023 |
| 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 | 31 | 2021 |
| 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 | 24* | 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 | 24 | 2022 |
| 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 | 16 | 2024 |
Constantinos DaskalakisProfessor of Computer Science, MITПодтвержден адрес электронной почты в домене csail.mit.edu
Alexander RakhlinProfessor, MITПодтвержден адрес электронной почты в домене mit.edu
Badih GhaziGoogleПодтвержден адрес электронной почты в домене google.com
Ravi KumarGoogleПодтвержден адрес электронной почты в домене google.com
Ankur MoitraNorbert Wiener Professor of Mathematics, MITПодтвержден адрес электронной почты в домене mit.edu
Dylan J. FosterPrincipal Researcher, Microsoft ResearchПодтвержден адрес электронной почты в домене microsoft.com
Pasin ManurangsiGoogle ResearchПодтвержден адрес электронной почты в домене google.com
Ohad ShamirWeizmann Institute of ScienceПодтвержден адрес электронной почты в домене weizmann.ac.il
Rasmus PaghProfessor of computer science, University of CopenhagenПодтвержден адрес электронной почты в домене di.ku.dk
Sarath PattathilMITПодтвержден адрес электронной почты в домене mit.edu
Chiyuan ZhangGoogle ResearchПодтвержден адрес электронной почты в домене google.com
Sanjeev AroraProfessor of Computer Science, Princeton UniversityПодтвержден адрес электронной почты в домене cs.princeton.edu
Nadav CohenAssoc. Professor of Computer Science, Tel Aviv University | CTO, President & Co-Founder, ImubitПодтвержден адрес электронной почты в домене tauex.tau.ac.il
Yuval DaganMITПодтвержден адрес электронной почты в домене mit.edu
David C. ParkesGeorge F. Colony Professor of Computer Science, Harvard UniversityПодтвержден адрес электронной почты в домене eecs.harvard.edu
Harikrishna NarasimhanGoogle ResearchПодтвержден адрес электронной почты в домене google.com