Decentralized learning algorithms are an essential tool for designing
mu...
We study online convex optimization where the possible actions are trace...
Learning in games has emerged as a powerful tool for Machine Learning wi...
Given a matrix X∈ℝ^m× n_+ with non-negative entries, the
cone factorizat...
Given a matrix X∈ℝ_+^m× n with nonnegative entries, a
Positive Semidefin...
Non-negative matrix factorization (NMF) is a fundamental non-convex
opti...
The onset of the era of fully-programmable error-corrected quantum compu...
In this work, we introduce a new framework for unifying and systematizin...
It is well known that transmitting classical information over quantum
ne...