Learning Mixtures of Smooth Product Distributions: Identifiability and Algorithm

2 April 2019

Papers citing "Learning Mixtures of Smooth Product Distributions: Identifiability and Algorithm"

8 / 8 papers shown

Title
A Unified MDL-based Binning and Tensor Factorization Framework for PDF Estimation Mustafa Musab Joseph K. Chege Arie Yeredor Martin Haardt 31 0 0 25 Apr 2025
Generalization Bounds for Inductive Matrix Completion in Low-noise Settings Antoine Ledent Rodrigo Alves Yunwen Lei Y. Guermeur Marius Kloft 20 3 0 16 Dec 2022
Generalized Identifiability Bounds for Mixture Models with Grouped Samples Robert A. Vandermeulen René Saitenmacher 25 2 0 22 Jul 2022
Beyond Smoothness: Incorporating Low-Rank Analysis into Nonparametric Density Estimation Robert A. Vandermeulen Antoine Ledent 20 7 0 02 Apr 2022
Joint Probability Estimation Using Tensor Decomposition and Dictionaries Shaan ul Haque Ajit V. Rajwade Karthik S. Gurumoorthy 22 2 0 03 Mar 2022
Tensor-Train Density Estimation Georgii Sergeevich Novikov Maxim Panov Ivan V. Oseledets 46 34 0 30 Jul 2021
Low-rank Characteristic Tensor Density Estimation Part I: Foundations Magda Amiridi Nikos Kargas N. Sidiropoulos 19 19 0 27 Aug 2020
Tensor Decomposition for Signal Processing and Machine Learning N. Sidiropoulos L. De Lathauwer Xiao Fu Kejun Huang Evangelos E. Papalexakis Christos Faloutsos 105 1,342 0 06 Jul 2016