Information bottleneck theory of high-dimensional regression: relevancy,
efficiency and optimality

v1v2 (latest)

Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality

8 August 2022

Wave Ngampruetikorn

David J. Schwab

ArXiv (abs)PDF HTML

Papers citing "Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality"

5 / 5 papers shown

Title
CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning Junghun Oh Sungyong Baik Kyoung Mu Lee CLL 82 4 0 08 Oct 2024
Generalization vs. Specialization under Concept Shift Alex Nguyen David J. Schwab Vudtiwat Ngampruetikorn OOD 56 0 0 23 Sep 2024
Cauchy-Schwarz Divergence Information Bottleneck for Regression Shujian Yu Xi Yu Sigurd Løkse Robert Jenssen José C. Príncipe UQCV 80 5 0 27 Apr 2024
Generalized Information Bottleneck for Gaussian Variables Wave Ngampruetikorn David J. Schwab 76 1 0 31 Mar 2023
DSD $^2$ : Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free? Victor Quétu Enzo Tartaglione 85 7 0 02 Mar 2023