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
7522019
Stochastic variance reduction for nonconvex optimization
SJ Reddi, A Hefny, S Sra, B Poczos, A Smola
International conference on machine learning, 314-323, 2016
3452016
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
1382015
Fast Stochastic Methods for Nonsmooth Nonconvex Optimization
S J. Reddi, S Sra, B Poczos, A Smola
arXiv:1605.06900, 2016
134*2016
Riemannian SVRG: Fast stochastic optimization on Riemannian manifolds
H Zhang, SJ Reddi, S Sra
Advances in Neural Information Processing Systems, 4592-4600, 2016
1182016
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
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
882015
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
712016
A maximum likelihood approach for selecting sets of alternatives
AD Procaccia, SJ Reddi, N Shah
arXiv preprint arXiv:1210.4882, 2012
702012
Aide: Fast and communication efficient distributed optimization
SJ Reddi, J Konečný, P Richtárik, B Póczós, A Smola
arXiv preprint arXiv:1608.06879, 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
56*2016
Adaptive methods for nonconvex optimization
M Zaheer, S Reddi, D Sachan, S Kale, S Kumar
Advances in neural information processing systems, 9793-9803, 2018
492018
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
472019
Variance reduction in stochastic gradient Langevin dynamics
KA Dubey, SJ Reddi, SA Williamson, B Poczos, AJ Smola, EP Xing
Advances in neural information processing systems, 1154-1162, 2016
452016
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
382018
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
34*2015
Doubly robust covariate shift correction
SJ Reddi, B Poczos, A Smola
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
262015
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, 2019
232019
Suvrit Sra, Barnabas Poczos, Francis Bach, Ruslan Salakhutdinov, and Alexander J Smola. A generic approach for escaping saddle points
SJ Reddi, M Zaheer
arXiv preprint arXiv:1709.01434, 2017
232017
Communication Efficient Coresets for Empirical Loss Minimization.
SJ Reddi, B Póczos, AJ Smola
UAI, 752-761, 2015
202015
Large-scale randomized-coordinate descent methods with non-separable linear constraints
S Reddi, A Hefny, C Downey, A Dubey, S Sra
arXiv preprint arXiv:1409.2617, 2014
192014
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