A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition

10 May 2021

Papers citing "A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition"

5 / 5 papers shown

Title
Quantifying Knowledge Distillation Using Partial Information Decomposition Pasan Dissanayake Faisal Hamman Barproda Halder Ilia Sucholutsky Qiuyi Zhang Sanghamitra Dutta 36 0 0 12 Nov 2024
Partial Information Decomposition for Data Interpretability and Feature Selection Charles Westphal Stephen Hailes Mirco Musolesi 40 0 0 29 May 2024
Information-Theoretic State Variable Selection for Reinforcement Learning Charles Westphal Stephen Hailes Mirco Musolesi 26 3 0 21 Jan 2024
Measuring Multi-Source Redundancy in Factor Graphs Jesse Milzman Andre V. Harrison Carlos Nieto-Granda J. Rogers 21 0 0 13 Mar 2023
Estimating the Unique Information of Continuous Variables Ari Pakman Amin Nejatbakhsh D. Gilboa Abdullah Makkeh Luca Mazzucato Michael Wibral E. Schneidman 43 24 0 30 Jan 2021