Learning Some Popular Gaussian Graphical Models without Condition Number Bounds

3 May 2019

Papers citing "Learning Some Popular Gaussian Graphical Models without Condition Number Bounds"

6 / 6 papers shown

Title
Efficient Hamiltonian, structure and trace distance learning of Gaussian states Marco Fanizza Cambyse Rouzé Daniel Stilck França 37 4 0 05 Nov 2024
Statistical Efficiency of Score Matching: The View from Isoperimetry Frederic Koehler Alexander Heckett Andrej Risteski DiffM 102 50 0 03 Oct 2022
Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity Jian-Feng Cai José Vinícius de Miranda Cardoso Daniel P. Palomar Jiaxi Ying 24 10 0 03 Dec 2021
A Computationally Efficient Method for Learning Exponential Family Distributions Abhin Shah Devavrat Shah G. Wornell 23 9 0 28 Oct 2021
Statistical Query Algorithms and Low-Degree Tests Are Almost Equivalent Matthew Brennan Guy Bresler Samuel B. Hopkins J. Li T. Schramm 19 62 0 13 Sep 2020
Learning without Concentration S. Mendelson 82 334 0 01 Jan 2014