Making gradient descent optimal for strongly convex stochastic optimization A Rakhlin, O Shamir, K Sridharan
International Conference on Machine Learning (ICML), 2011
849 2011 Non-convex learning via stochastic gradient langevin dynamics: a nonasymptotic analysis M Raginsky, A Rakhlin, M Telgarsky
Conference on Learning Theory, 1674-1703, 2017
586 2017 Size-independent sample complexity of neural networks N Golowich, A Rakhlin, O Shamir
Conference On Learning Theory, 297-299, 2018
483 2018 Competing in the Dark: An Efficient Algorithm for Bandit Linear Optimization. JD Abernethy, E Hazan, A Rakhlin
COLT, 263-274, 2008
428 2008 Optimization, learning, and games with predictable sequences S Rakhlin, K Sridharan
Advances in Neural Information Processing Systems 26, 2013
423 2013 Just interpolate: Kernel “ridgeless” regression can generalize T Liang, A Rakhlin
398 2020 Online learning with predictable sequences A Rakhlin, K Sridharan
Conference on Learning Theory, 993-1019, 2013
384 2013 Deep learning: a statistical viewpoint PL Bartlett, A Montanari, A Rakhlin
Acta numerica 30, 87-201, 2021
362 2021 Online optimization: Competing with dynamic comparators A Jadbabaie, A Rakhlin, S Shahrampour, K Sridharan
Artificial Intelligence and Statistics, 398-406, 2015
322 2015 Adaptive online gradient descent PL Bartlett, E Hazan, A Rakhlin
Advances in Neural Information Processing Systems, 65-72, 2007
280 * 2007 Fisher-rao metric, geometry, and complexity of neural networks T Liang, T Poggio, A Rakhlin, J Stokes
The 22nd international conference on artificial intelligence and statistics …, 2019
265 2019 Does data interpolation contradict statistical optimality? M Belkin, A Rakhlin, AB Tsybakov
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
249 2019 Stochastic convex optimization with bandit feedback A Agarwal, DP Foster, DJ Hsu, SM Kakade, A Rakhlin
Advances in Neural Information Processing Systems 24, 2011
233 2011 Beyond ucb: Optimal and efficient contextual bandits with regression oracles D Foster, A Rakhlin
International Conference on Machine Learning, 3199-3210, 2020
227 2020 Near optimal finite time identification of arbitrary linear dynamical systems T Sarkar, A Rakhlin
International Conference on Machine Learning, 5610-5618, 2019
212 2019 Optimal strategies and minimax lower bounds for online convex games J Abernethy, PL Bartlett, A Rakhlin, A Tewari
Proceedings of the 21st annual conference on learning theory, 414-424, 2008
202 2008 The statistical complexity of interactive decision making DJ Foster, SM Kakade, J Qian, A Rakhlin
arXiv preprint arXiv:2112.13487, 2021
201 2021 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
162 2020 On the multiple descent of minimum-norm interpolants and restricted lower isometry of kernels T Liang, A Rakhlin, X Zhai
Conference on Learning Theory, 2683-2711, 2020
157 * 2020 Stability of A Rakhlin, A Caponnetto
Advances in neural information processing systems 19, 2006
156 2006 