Sashank J. Reddi
Sashank J. Reddi
Research Scientist, Google Research
Verified email at cs.cmu.edu - Homepage
Title
Cited by
Cited by
Year
On the convergence of adam and beyond
SJ Reddi, S Kale, S Kumar
arXiv preprint arXiv:1904.09237, 2019
12952019
Stochastic variance reduction for nonconvex optimization
SJ Reddi, A Hefny, S Sra, B Poczos, A Smola
International conference on machine learning, 314-323, 2016
4492016
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
2132019
Fast Stochastic Methods for Nonsmooth Nonconvex Optimization
S J. Reddi, S Sra, B Poczos, A Smola
arXiv:1605.06900, 2016
170*2016
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
1652015
Riemannian SVRG: Fast stochastic optimization on Riemannian manifolds
H Zhang, S J Reddi, S Sra
Advances in Neural Information Processing Systems 29, 4592-4600, 2016
1392016
Adaptive methods for nonconvex optimization
S Reddi, M Zaheer, D Sachan, S Kale, S Kumar
Proceeding of 32nd Conference on Neural Information Processing Systems (NIPS …, 2018
1352018
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
1232020
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
1192015
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
1072016
AIDE: Fast and communication efficient distributed optimization
SJ Reddi, J Konečnę, P Richtárik, B Póczós, A Smola
arXiv preprint arXiv:1608.06879, 2016
982016
Adaptive federated optimization
S Reddi, Z Charles, M Zaheer, Z Garrett, K Rush, J Konečnę, S Kumar, ...
arXiv preprint arXiv:2003.00295, 2020
872020
SCAFFOLD: Stochastic Controlled Averaging for On-Device Federated Learning.
SP Karimireddy, S Kale, M Mohri, SJ Reddi, SU Stich, AT Suresh
872019
A maximum likelihood approach for selecting sets of alternatives
AD Procaccia, SJ Reddi, N Shah
arXiv preprint arXiv:1210.4882, 2012
802012
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, 1154-1162, 2016
682016
Fast incremental method for smooth nonconvex optimization
SJ Reddi, S Sra, B Póczos, A Smola
2016 IEEE 55th Conference on Decision and Control (CDC), 1971-1977, 2016
58*2016
A generic approach for escaping saddle points
S Reddi, M Zaheer, S Sra, B Poczos, F Bach, R Salakhutdinov, A Smola
International conference on artificial intelligence and statistics, 1233-1242, 2018
572018
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
422019
On the high dimensional power of a linear-time two sample test under mean-shift alternatives
S Reddi, A Ramdas, B Póczos, A Singh, L Wasserman
Artificial Intelligence and Statistics, 772-780, 2015
41*2015
Can gradient clipping mitigate label noise?
AK Menon, AS Rawat, SJ Reddi, S Kumar
International Conference on Learning Representations, 2019
402019
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Articles 1–20