| Size-independent sample complexity of neural networks N Golowich, A Rakhlin, O Shamir Conference On Learning Theory, 297-299, 2018 | 446 | 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 | 266 | 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 | 176 | 2020 |
| Size-independent sample complexity of neural networks N Golowich, A Rakhlin, O Shamir Information and Inference: A Journal of the IMA 9 (2), 473-504, 2020 | 158 | 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 | 148 | 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 | 108 | 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 | 97 | 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 | 94 | 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 | 90 | 2020 |
| Deep Learning for Multi-Facility Location Mechanism Design. N Golowich, H Narasimhan, DC Parkes IJCAI, 261-267, 2018 | 84 | 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 | 69 | 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 | 63 | 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 | 44 | 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 | 38* | 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 | 34 | 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 | 31 | 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 | 26 | 2021 |
| 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 | 23 | 2022 |
| 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 | 20* | 2024 |
Constantinos DaskalakisProfessor of Computer Science, MIT在 csail.mit.edu 的电子邮件经过验证
