Information Theory
548 papers
Papers per year
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1
4
8
5
9
7
9
8
16
11
22
14
25
23
37
31
38
57
55
57
57
42
10
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'25
Papers
Importance Matching Lemma for Lossy Compression with Side Information
AISTATS 2024
Information Processing Equalities and the Information–Risk Bridge
JMLR 2024
Information-theoretic Analysis of Bayesian Test Data Sensitivity
AISTATS 2024
Information-theoretic Generalization Analysis for Expected Calibration Error
NeurIPS 2024
Information-theoretic hypothesis generation of relative cue weighting for the voicing contrast
Interspeech 2024
Information-Theoretic Thresholds for the Alignments of Partially Correlated Graphs
COLT 2024
Language Modeling Is Compression
ICLR 2024
Metric Distortion with Elicited Pairwise Comparisons
IJCAI 2024
Minimum Entropy Coupling with Bottleneck
NeurIPS 2024
Multi-Relational Structural Entropy
UAI 2024
Mutual Information Estimation via Normalizing Flows
NeurIPS 2024
Online Estimation via Offline Estimation: An Information-Theoretic Framework
NeurIPS 2024
Online Learning and Information Exponents: The Importance of Batch size & Time/Complexity Tradeoffs
ICML 2024
Online Sampling and Decision Making with Low Entropy
IJCAI 2024
Optimal Top-Two Method for Best Arm Identification and Fluid Analysis
NeurIPS 2024
Performance Bounds for Active Binary Testing with Information Maximization
ICML 2024
Prediction from compression for models with infinite memory, with applications to hidden Markov and renewal processes
COLT 2024
Principal eigenstate classical shadows
COLT 2024
Reimagining Mutual Information for Enhanced Defense against Data Leakage in Collaborative Inference
NeurIPS 2024
Rényi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration via Shift Reduction Lemmas
ICML 2024
Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data
NeurIPS 2024
S$Ω$I: Score-based O-INFORMATION Estimation
ICML 2024
Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation
NeurIPS 2024
Structural Entropy Based Graph Structure Learning for Node Classification
AAAI 2024
Studying the Interplay between Information Loss and Operation Loss in Representations for Classification
JMLR 2024