We study simple binary hypothesis testing under both local differential
...
We study hypothesis testing under communication constraints, where each
...
Adversarial risk quantifies the performance of classifiers on adversaria...
We study the problem of linear regression where both covariates and resp...
The r-parallel set of a measurable set A ⊆ℝ^d is the set
of all points w...
The accuracy of modern machine learning algorithms deteriorates severely...
We propose a novel strategy for extracting features in supervised learni...
Purpose: The purpose of this study is to investigate the robustness of a...
We consider the problem of estimating the common mean of independently
s...
In this article, we survey the main models, techniques, concepts, and re...
We investigate a simple model for social learning with two agents: a tea...
We establish lower bounds on the volume and the surface area of a geomet...
The entropy power inequality (EPI) and the Brascamp-Lieb inequality (BLI...
We study the convexity of mutual information as a function of time along...
We study the problem of finding the maximum of a function defined on the...
We study the convexity of mutual information along the evolution of the ...
In statistical learning theory, generalization error is used to quantify...
We establish a lower bound on the entropy of weighted sums of (possibly
...
We consider the problem of influence maximization in fixed networks, for...
We establish bounds on the KL divergence between two multivariate Gaussi...