دنبال کردن
Naman Agarwal
Naman Agarwal
Senior Research Scientist, Google AI Princeton
ایمیل تأیید شده در google.com - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
cpSGD: Communication-efficient and differentially-private distributed SGD‏
N Agarwal, AT Suresh, F Yu, S Kumar, HB Mcmahan‏
(Spotlight) 32nd International Conference on Neural Information Processing …, 2018‏
5642018
Second-order stochastic optimization for machine learning in linear time‏
N Agarwal, B Bullins, E Hazan‏
Journal of Machine Learning Research 18 (116), 1-40, 2017‏
374*2017
Finding Approximate Local Minima for Nonconvex Optimization in Linear Time‏
N Agarwal, AZ Zeyuan, B Brian, E Hazan, T Ma‏
Symposium on Theory of Computing 2017, 2016‏
371*2016
Online control with adversarial disturbances‏
N Agarwal, B Bullins, E Hazan, S Kakade, K Singh‏
International Conference on Machine Learning, 111-119, 2019‏
2722019
The skellam mechanism for differentially private federated learning‏
N Agarwal, P Kairouz, Z Liu‏
Advances in Neural Information Processing Systems 34, 5052-5064, 2021‏
1452021
Logarithmic regret for online control‏
N Agarwal, E Hazan, K Singh‏
(Oral) Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 2019‏
1282019
The price of differential privacy for online learning‏
N Agarwal, K Singh‏
International Conference on Machine Learning, 32-40, 2017‏
1112017
The case for full-matrix adaptive regularization‏
N Agarwal, B Bullins, X Chen, E Hazan, K Singh, C Zhang, Y Zhang‏
International Conference on Machine Learning, 2019, 2018‏
90*2018
Adaptive regularization with cubics on manifolds‏
N Agarwal, N Boumal, B Bullins, C Cartis‏
Mathematical Programming 188, 85-134, 2021‏
74*2021
Learning in non-convex games with an optimization oracle‏
N Agarwal, A Gonen, E Hazan‏
Conference on Learning Theory, 18-29, 2019‏
632019
Multisection in the stochastic block model using semidefinite programming‏
N Agarwal, AS Bandeira, K Koiliaris, A Kolla‏
Compressed Sensing and its Applications: Second MATHEON Conference 2015, 2015‏
63*2015
Adaptive gradient methods at the edge of stability‏
JM Cohen, B Ghorbani, S Krishnan, N Agarwal, S Medapati, M Badura, ...‏
arXiv preprint arXiv:2207.14484, 2022‏
532022
Lower bounds for higher-order convex optimization‏
N Agarwal, E Hazan‏
Conference On Learning Theory, 774-792, 2018‏
522018
Disentangling adaptive gradient methods from learning rates‏
N Agarwal, R Anil, E Hazan, T Koren, C Zhang‏
arXiv preprint arXiv:2002.11803, 2020‏
432020
Online target q-learning with reverse experience replay: Efficiently finding the optimal policy for linear mdps‏
N Agarwal, S Chaudhuri, P Jain, D Nagaraj, P Netrapalli‏
arXiv preprint arXiv:2110.08440, 2021‏
302021
Benchmarking neural network training algorithms‏
GE Dahl, F Schneider, Z Nado, N Agarwal, CS Sastry, P Hennig, ...‏
arXiv preprint arXiv:2306.07179, 2023‏
292023
Acceleration via fractal learning rate schedules‏
N Agarwal, S Goel, C Zhang‏
International Conference on Machine Learning, 87-99, 2021‏
292021
Leverage score sampling for faster accelerated regression and ERM‏
N Agarwal, S Kakade, R Kidambi, YT Lee, P Netrapalli, A Sidford‏
Algorithmic Learning Theory, 22-47, 2020‏
292020
Boosting for control of dynamical systems‏
N Agarwal, N Brukhim, E Hazan, Z Lu‏
International conference on machine learning, 96-103, 2020‏
25*2020
On the expansion of group-based lifts‏
N Agarwal, K Chandrasekaran, A Kolla, V Madan‏
SIAM Journal on Discrete Mathematics 33 (3), 1338-1373, 2019‏
25*2019
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–20