Compressive Statistical Learning with Random Feature Moments

Compressive Statistical Learning with Random Feature Moments

22 June 2017

Rémi Gribonval

Gilles Blanchard

Nicolas Keriven

Papers citing "Compressive Statistical Learning with Random Feature Moments"

6 / 6 papers shown

Title
Sensing Theorems for Unsupervised Learning in Linear Inverse Problems Julián Tachella Dongdong Chen Mike Davies SSL 25 24 0 23 Mar 2022
Compressive Independent Component Analysis: Theory and Algorithms Michael P. Sheehan Mike E. Davies CML 18 2 0 15 Oct 2021
Compressive Learning for Semi-Parametric Models Michael P. Sheehan Antoine Gonon Mike E. Davies SSL 19 5 0 22 Oct 2019
Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions Antoine Liutkus Umut Simsekli Szymon Majewski Alain Durmus Fabian-Robert Stöter DiffM 35 119 0 21 Jun 2018
Random mesh projectors for inverse problems Sidharth Gupta K. Kothari Maarten V. de Hoop Ivan Dokmanić 29 15 0 29 May 2018
Structured adaptive and random spinners for fast machine learning computations Mariusz Bojarski A. Choromańska K. Choromanski Francois Fagan Cédric Gouy-Pailler Anne Morvan Nourhan Sakr Tamás Sarlós Jamal Atif 35 35 0 19 Oct 2016