Search Results for author:
Found 5 papers, 2 papers with code
Faster proximal algorithms for matrix optimization using Jacobi-based eigenvalue methods
We consider proximal splitting algorithms for convex optimization problems over matrices.
Geometric Rényi Divergence and its Applications in Quantum Channel Capacities
We present a systematic study of the geometric R\'enyi divergence (GRD), also known as the maximal R\'enyi divergence, from the point of view of quantum information theory.
Quantum Physics Information Theory Mathematical Physics Information Theory Mathematical Physics
Learning dynamic polynomial proofs
In this work, we introduce a machine learning based method to search for a dynamic proof within these proof systems.
Adversarial vulnerability for any classifier
Despite achieving impressive performance, state-of-the-art classifiers remain highly vulnerable to small, imperceptible, adversarial perturbations.
Semidefinite approximations of the matrix logarithm
As such, we introduce strategies for constructing semidefinite approximations that we expect will be useful, more generally, for studying the approximation power of functions with small semidefinite representations.
Optimization and Control
