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List of works by Suvrit Sra

A new metric on the manifold of kernel matrices with application to matrix geometric means

scientific article published in January 2012

A short note on parameter approximation for von Mises-Fisher distributions: and a fast implementation of I s (x)

An Interpretable Predictive Model of Vaccine Utilization for Tanzania

scientific article published on 30 October 2020

An alternative to EM for Gaussian mixture models: batch and stochastic Riemannian optimization

scientific article published in 2019

Are deep ResNets provably better than linear predictors?

scientific article published in January 2019

Clustering on the Unit Hypersphere using von Mises-Fisher Distributions

scientific article published in 2005

Direct Runge-Kutta Discretization Achieves Acceleration

Efficient Structured Matrix Rank Minimization

scientific article published in January 2014

Efficient nearest neighbors via robust sparse hashing.

scientific article published on August 2014

Elementary Symmetric Polynomials for Optimal Experimental Design

scientific article published in January 2017

Exponentiated Strongly Rayleigh Distributions

Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling

scientific article published in January 2016

Flexible Modeling of Diversity with Strongly Log-Concave Distributions

scientific article published in January 2019

Generalized Nonnegative Matrix Approximations with Bregman Divergences

scientific article published in January 2006

Geometric optimisation on positive definite matrices for elliptically contoured distributions

Introducing discrepancy values of matrices with application to bounding norms of commutators

scientific article published in 2022

Jensen-Bregman LogDet divergence with application to efficient similarity search for covariance matrices

scientific article published in September 2013

Kronecker Determinantal Point Processes

scientific article published in January 2016

Matrix Manifold Optimization for Gaussian Mixtures

New concavity and convexity results for symmetric polynomials and their ratios

scientific article published in 2018

On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants

Polynomial time algorithms for dual volume sampling

scientific article published in January 2017

Projection-free nonconvex stochastic optimization on Riemannian manifolds

scientific article published in 2021

Proximal Stochastic Methods for Nonsmooth Nonconvex Finite-Sum Optimization

scientific article published in January 2016

Reflection methods for user-friendly submodular optimization

Riemannian Dictionary Learning and Sparse Coding for Positive Definite Matrices

scientific article published on 13 September 2016

Riemannian Optimization via Frank-Wolfe Methods

scientific article published in 2022

Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds

scientific article published in January 2016

SGD with shuffling: optimal rates without component convexity and large epoch requirements

Scalable nonconvex inexact proximal splitting

scientific article published in January 2012

Small ReLU networks are powerful memorizers: a tight analysis of memorization capacity

scientific article published in January 2019

The Metric Nearness Problem

Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes

scientific article published in November 2020

Triangle Fixing Algorithms for the Metric Nearness Problem

scientific article published in January 2005

Why are Adaptive Methods Good for Attention Models?

scientific article published in November 2020