PAC-Bayes Information Bottleneck

PAC-Bayes Information Bottleneck

29 September 2021

Jimeng Sun

Papers citing "PAC-Bayes Information Bottleneck"

13 / 13 papers shown

Title
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications Huayi Tang Yong Liu 95 0 0 08 Nov 2023
An Information Theory-inspired Strategy for Automatic Network Pruning Xiawu Zheng Yuexiao Ma Teng Xi Gang Zhang Errui Ding Yuchao Li Jie Chen Yonghong Tian Rongrong Ji 163 13 0 19 Aug 2021
Disentangled Information Bottleneck Ziqi Pan Li Niu Jianfu Zhang Liqing Zhang 53 37 0 14 Dec 2020
Less Is Better: Unweighted Data Subsampling via Influence Function Zifeng Wang Hong Zhu Zhenhua Dong Xiuqiang He Shao-Lun Huang TDI 68 53 0 03 Dec 2019
Information in Infinite Ensembles of Infinitely-Wide Neural Networks Ravid Shwartz-Ziv Alexander A. Alemi 48 22 0 20 Nov 2019
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates Jeffrey Negrea Mahdi Haghifam Gintare Karolina Dziugaite Ashish Khisti Daniel M. Roy FedML 153 152 0 06 Nov 2019
Specializing Word Embeddings (for Parsing) by Information Bottleneck Xiang Lisa Li Jason Eisner 55 67 0 01 Oct 2019
Compressing Neural Networks using the Variational Information Bottleneck Bin Dai Chen Zhu David Wipf MLT 49 181 0 28 Feb 2018
Information-theoretic analysis of generalization capability of learning algorithms Aolin Xu Maxim Raginsky 157 445 0 22 May 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 169 2,878 0 14 Mar 2017
Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis Maxim Raginsky Alexander Rakhlin Matus Telgarsky 70 521 0 13 Feb 2017
Deep Learning and the Information Bottleneck Principle Naftali Tishby Noga Zaslavsky DRL 179 1,582 0 09 Mar 2015
In Search of the Real Inductive Bias: On the Role of Implicit Regularization in Deep Learning Behnam Neyshabur Ryota Tomioka Nathan Srebro AI4CE 88 657 0 20 Dec 2014