1.6k citations · 3.9k across the 52 of their papers we have counts for
3 papers · 1 filter
On the High-dimensional Power of Linear-time Kernel Two-Sample Testing under Mean-difference Alternatives
Aaditya Ramdas, Sashank J. Reddi, Barnabas Poczos +2
Nonparametric two sample testing deals with the question of consistently deciding if two distributions are different, given samples from both, without making any parametric assumpt…
Large-scale randomized-coordinate descent methods with non-separable linear constraints
Sashank Reddi, Ahmed Hefny, Carlton Downey +2
We develop randomized (block) coordinate descent (CD) methods for linearly constrained convex optimization. Unlike most CD methods, we do not assume the constraints to be separable…
On the Decreasing Power of Kernel and Distance based Nonparametric Hypothesis Tests in High Dimensions
Sashank J. Reddi, Aaditya Ramdas, Barnabás Póczos +2
This paper is about two related decision theoretic problems, nonparametric two-sample testing and independence testing. There is a belief that two recently proposed solutions, base…