A fundamental shortcoming of the concept of Nash equilibrium is its
comp...
We study the problem of sequential prediction in the stochastic setting ...
In statistical learning theory, determining the sample complexity of
rea...
We initiate the study of smoothed analysis for the sequential probabilit...
We study the problem of progressive distillation: Given a large, pre-tra...
The one-inclusion graph algorithm of Haussler, Littlestone, and Warmuth
...
In this paper, we study oracle-efficient algorithms for beyond worst-cas...
In distribution compression, one aims to accurately summarize a probabil...
We develop a novel connection between discrepancy minimization and (quan...
We prove novel algorithmic guarantees for several online problems in the...
We prove new results on the polarizing random walk framework introduced ...
Practical and pervasive needs for robustness and privacy in algorithms h...
It is well-known that overparametrized neural networks trained using
gra...
The Euclidean space notion of convex sets (and functions) generalizes to...
Non-Gaussian component analysis (NGCA) is a problem in multidimensional ...