دنبال کردن
Sashank J. Reddi
Sashank J. Reddi
نام‌های دیگرSashank Reddi, Sashank Jakkam Reddi
Research Scientist, Google Research
ایمیل تأیید شده در cs.cmu.edu - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
On the convergence of adam and beyond‏
SJ Reddi, S Kale, S Kumar‏
arXiv preprint arXiv:1904.09237, 2019‏
33272019
Scaffold: Stochastic controlled averaging for federated learning‏
SP Karimireddy, S Kale, M Mohri, S Reddi, S Stich, AT Suresh‏
International conference on machine learning, 5132-5143, 2020‏
32912020
Adaptive federated optimization‏
S Reddi, Z Charles, M Zaheer, Z Garrett, K Rush, J Konečný, S Kumar, ...‏
arXiv preprint arXiv:2003.00295, 2020‏
16812020
Large batch optimization for deep learning: Training bert in 76 minutes‏
Y You, J Li, S Reddi, J Hseu, S Kumar, S Bhojanapalli, X Song, J Demmel, ...‏
arXiv preprint arXiv:1904.00962, 2019‏
11342019
Stochastic variance reduction for nonconvex optimization‏
SJ Reddi, A Hefny, S Sra, B Poczos, A Smola‏
International conference on machine learning, 314-323, 2016‏
7172016
Adaptive methods for nonconvex optimization‏
M Zaheer, S Reddi, D Sachan, S Kale, S Kumar‏
Advances in neural information processing systems 31, 2018‏
4882018
A field guide to federated optimization‏
J Wang, Z Charles, Z Xu, G Joshi, HB McMahan, M Al-Shedivat, G Andrew, ...‏
arXiv preprint arXiv:2107.06917, 2021‏
4122021
Are transformers universal approximators of sequence-to-sequence functions?‏
C Yun, S Bhojanapalli, AS Rawat, SJ Reddi, S Kumar‏
arXiv preprint arXiv:1912.10077, 2019‏
3992019
Riemannian SVRG: Fast stochastic optimization on Riemannian manifolds‏
H Zhang, S J Reddi, S Sra‏
Advances in Neural Information Processing Systems 29, 2016‏
2982016
Scaffold: Stochastic controlled averaging for on-device federated learning‏
SP Karimireddy, S Kale, M Mohri, SJ Reddi, SU Stich, AT Suresh‏
arXiv preprint arXiv:1910.06378 2 (6), 2019‏
2952019
Why are adaptive methods good for attention models?‏
J Zhang, SP Karimireddy, A Veit, S Kim, S Reddi, S Kumar, S Sra‏
Advances in Neural Information Processing Systems 33, 15383-15393, 2020‏
2922020
Fast Stochastic Methods for Nonsmooth Nonconvex Optimization‏
S J. Reddi, S Sra, B Poczos, A Smola‏
arXiv:1605.06900, 2016‏
273*2016
Mime: Mimicking centralized stochastic algorithms in federated learning‏
SP Karimireddy, M Jaggi, S Kale, M Mohri, SJ Reddi, SU Stich, AT Suresh‏
arXiv preprint arXiv:2008.03606, 2020‏
2332020
On the decreasing power of kernel and distance based nonparametric hypothesis tests in high dimensions‏
A Ramdas, SJ Reddi, B Póczos, A Singh, L Wasserman‏
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015‏
2102015
On variance reduction in stochastic gradient descent and its asynchronous variants‏
SJ Reddi, A Hefny, S Sra, B Poczos, AJ Smola‏
Advances in neural information processing systems, 2647-2655, 2015‏
2082015
Can gradient clipping mitigate label noise?‏
AK Menon, AS Rawat, SJ Reddi, S Kumar‏
International conference on learning representations, 2020‏
1882020
Aide: Fast and communication efficient distributed optimization‏
SJ Reddi, J Konečný, P Richtárik, B Póczós, A Smola‏
arXiv preprint arXiv:1608.06879, 2016‏
1842016
Stochastic Frank-Wolfe methods for nonconvex optimization‏
SJ Reddi, S Sra, B Póczos, A Smola‏
2016 54th annual Allerton conference on communication, control, and …, 2016‏
1822016
Adaclip: Adaptive clipping for private sgd‏
V Pichapati, AT Suresh, FX Yu, SJ Reddi, S Kumar‏
arXiv preprint arXiv:1908.07643, 2019‏
1442019
Variance reduction in stochastic gradient Langevin dynamics‏
KA Dubey, S J Reddi, SA Williamson, B Poczos, AJ Smola, EP Xing‏
Advances in neural information processing systems 29, 2016‏
1142016
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–20