Tensors, Learning, and 'Kolmogorov Extension' for Finite-alphabet Random Vectors

1 December 2017

Papers citing "Tensors, Learning, and 'Kolmogorov Extension' for Finite-alphabet Random Vectors"

9 / 9 papers shown

Title
A Unified MDL-based Binning and Tensor Factorization Framework for PDF Estimation Mustafa Musab Joseph K. Chege Arie Yeredor Martin Haardt 29 0 0 25 Apr 2025
Non-negative Tensor Mixture Learning for Discrete Density Estimation Kazu Ghalamkari Jesper L. Hinrich Morten Mørup 62 1 0 28 May 2024
Tensor Decomposition based Personalized Federated Learning Qing Wang Jing Jin Xiaofeng Liu Huixuan Zong Yunfeng Shao Yinchuan Li FedML 21 3 0 27 Aug 2022
Generalized Identifiability Bounds for Mixture Models with Grouped Samples Robert A. Vandermeulen René Saitenmacher 22 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 19 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