Skip to content
conftrace_

Information Theory

370 papers

8
3
30
35
'10
'15
'20
'25

Papers

Measuring Dependence with Matrix-based Entropy Functional AAAI 2021 Optimal Rates for Nonparametric Density Estimation under Communication Constraints NeurIPS 2021 Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD NeurIPS 2021 Partition and Code: learning how to compress graphs NeurIPS 2021 Pointwise Bounds for Distribution Estimation under Communication Constraints NeurIPS 2021 Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning ICML 2021 Quantitative Understanding of VAE as a Non-linearly Scaled Isometric Embedding ICML 2021 Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning ICML 2021 Results of the WMT21 Metrics Shared Task: Evaluating Metrics with Expert-based Human Evaluations on TED and News Domain EMNLP 2021 RGB-D Saliency Detection via Cascaded Mutual Information Minimization ICCV 2021 Tighter Expected Generalization Error Bounds via Wasserstein Distance NeurIPS 2021 Top-k Ranking Bayesian Optimization AAAI 2021 Towards a Unified Information-Theoretic Framework for Generalization NeurIPS 2021 When Optimizing f-Divergence is Robust with Label Noise ICLR 2021 Whitening and Second Order Optimization Both Make Information in the Dataset Unusable During Training, and Can Reduce or Prevent Generalization ICML 2021 A Constraint-Based Approach to Learning and Explanation AAAI 2020 An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction EMNLP 2020 An information theoretic view on selecting linguistic probes EMNLP 2020 An Unsupervised Information-Theoretic Perceptual Quality Metric NeurIPS 2020 Better Long-Range Dependency By Bootstrapping A Mutual Information Regularizer AISTATS 2020 C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation UAI 2020 Conditioning and Processing: Techniques to Improve Information-Theoretic Generalization Bounds NeurIPS 2020 Consistent recovery threshold of hidden nearest neighbor graphs COLT 2020 Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks NeurIPS 2020 Explainable Data Decompositions AAAI 2020