Sample Complexity Using Infinite Multiview Models

8 February 2023

Papers citing "Sample Complexity Using Infinite Multiview Models"

11 / 11 papers shown

Title
Generalized Identifiability Bounds for Mixture Models with Grouped Samples Robert A. Vandermeulen René Saitenmacher 68 3 0 22 Jul 2022
Beyond Smoothness: Incorporating Low-Rank Analysis into Nonparametric Density Estimation Robert A. Vandermeulen Antoine Ledent 77 7 0 02 Apr 2022
Tensor-Train Density Estimation Georgii Sergeevich Novikov Maxim Panov Ivan Oseledets 79 35 0 30 Jul 2021
Low-Rank Sinkhorn Factorization M. Scetbon Marco Cuturi Gabriel Peyré 61 59 0 08 Mar 2021
Low-rank Characteristic Tensor Density Estimation Part I: Foundations Magda Amiridi Nikos Kargas N. Sidiropoulos 56 19 0 27 Aug 2020
Learning Mixtures of Smooth Product Distributions: Identifiability and Algorithm Nikos Kargas N. Sidiropoulos 62 26 0 02 Apr 2019
Nonparametric Estimation of Multi-View Latent Variable Models Le Song Anima Anandkumar Bo Dai Bo Xie 58 44 0 13 Nov 2013
Tensor decompositions for learning latent variable models Anima Anandkumar Rong Ge Daniel J. Hsu Sham Kakade Matus Telgarsky 443 1,147 0 29 Oct 2012
Computing a Nonnegative Matrix Factorization -- Provably Sanjeev Arora Rong Ge R. Kannan Ankur Moitra 309 399 0 03 Nov 2011
Restricted strong convexity and weighted matrix completion: Optimal bounds with noise S. Negahban Martin J. Wainwright 199 522 0 10 Sep 2010
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization Benjamin Recht Maryam Fazel P. Parrilo 419 3,771 0 28 Jun 2007