NIPS Proceedings
^{β}
Books
Suvrit Sra
20 Papers
Are deep ResNets provably better than linear predictors?
(2019)
Flexible Modeling of Diversity with Strongly Log-Concave Distributions
(2019)
Small ReLU networks are powerful memorizers: a tight analysis of memorization capacity
(2019)
Direct Runge-Kutta Discretization Achieves Acceleration
(2018)
Exponentiated Strongly Rayleigh Distributions
(2018)
Elementary Symmetric Polynomials for Optimal Experimental Design
(2017)
Polynomial time algorithms for dual volume sampling
(2017)
Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling
(2016)
Kronecker Determinantal Point Processes
(2016)
Proximal Stochastic Methods for Nonsmooth Nonconvex Finite-Sum Optimization
(2016)
Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds
(2016)
Matrix Manifold Optimization for Gaussian Mixtures
(2015)
On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants
(2015)
Efficient Structured Matrix Rank Minimization
(2014)
Geometric optimisation on positive definite matrices for elliptically contoured distributions
(2013)
Reflection methods for user-friendly submodular optimization
(2013)
A new metric on the manifold of kernel matrices with application to matrix geometric means
(2012)
Scalable nonconvex inexact proximal splitting
(2012)
Generalized Nonnegative Matrix Approximations with Bregman Divergences
(2005)
Triangle Fixing Algorithms for the Metric Nearness Problem
(2004)