Sashank J. Reddi
Sashank J. Reddi
Research Scientist, Google Research
Verified email at cs.cmu.edu - Homepage
TitleCited byYear
On the convergence of adam and beyond
SJ Reddi, S Kale, S Kumar
arXiv preprint arXiv:1904.09237, 2019
3302019
Stochastic variance reduction for nonconvex optimization
SJ Reddi, A Hefny, S Sra, B Poczos, A Smola
International conference on machine learning, 314-323, 2016
2332016
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
1152015
Fast Stochastic Methods for Nonsmooth Nonconvex Optimization
S J. Reddi, S Sra, B Poczos, A Smola
arXiv:1605.06900, 2016
90*2016
A maximum likelihood approach for selecting sets of alternatives
AD Procaccia, SJ Reddi, N Shah
arXiv preprint arXiv:1210.4882, 2012
662012
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
642015
Riemannian SVRG: Fast stochastic optimization on Riemannian manifolds
H Zhang, SJ Reddi, S Sra
Advances in Neural Information Processing Systems, 4592-4600, 2016
602016
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
502016
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
41*2016
Aide: Fast and communication efficient distributed optimization
SJ Reddi, J Konečný, P Richtárik, B Póczós, A Smola
arXiv preprint arXiv:1608.06879, 2016
382016
A generic approach for escaping saddle points
SJ Reddi, M Zaheer, S Sra, B Poczos, F Bach, R Salakhutdinov, AJ Smola
arXiv preprint arXiv:1709.01434, 2017
332017
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
312016
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
31*2015
Communication Efficient Coresets for Empirical Loss Minimization.
SJ Reddi, B Póczos, AJ Smola
UAI, 752-761, 2015
162015
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
162014
Adaptive methods for nonconvex optimization
M Zaheer, S Reddi, D Sachan, S Kale, S Kumar
Advances in Neural Information Processing Systems, 9793-9803, 2018
152018
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
152017
Adaptivity and computation-statistics tradeoffs for kernel and distance based high dimensional two sample testing
A Ramdas, SJ Reddi, B Poczos, A Singh, L Wasserman
arXiv preprint arXiv:1508.00655, 2015
152015
Doubly robust covariate shift correction
SJ Reddi, B Poczos, A Smola
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
142015
Scale invariant conditional dependence measures
SJ Reddi, B Póczos
International Conference on Machine Learning, 1355-1363, 2013
142013
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Articles 1–20