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Information Theory

498 papers

Papers per year

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14
38
22
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Papers

Importance Matching Lemma for Lossy Compression with Side Information AISTATS 2024
Gibbs-Based Information Criteria and the Over-Parameterized Regime AISTATS 2024
An information-theoretic lower bound in time-uniform estimation COLT 2024
Principal eigenstate classical shadows COLT 2024
Prediction from compression for models with infinite memory, with applications to hidden Markov and renewal processes COLT 2024
Information-Theoretic Thresholds for the Alignments of Partially Correlated Graphs COLT 2024
The Sample Complexity of Simple Binary Hypothesis Testing COLT 2024
BANF: Band-Limited Neural Fields for Levels of Detail Reconstruction CVPR 2024
Differentiable Information Bottleneck for Deterministic Multi-view Clustering CVPR 2024
Applying Information-theoretic Notions to Measure Effects of the Plain English Movement on English Law Reports and Scientific Articles EACL 2024
Towards a Similarity-adjusted Surprisal Theory EMNLP 2024
Metric Distortion with Elicited Pairwise Comparisons IJCAI 2024
Online Sampling and Decision Making with Low Entropy IJCAI 2024
A Study on the Information Mechanism of the 3rd Tone Sandhi Rule in Mandarin Disyllabic Words INTERSPEECH 2024
Information-theoretic hypothesis generation of relative cue weighting for the voicing contrast INTERSPEECH 2024
Information Processing Equalities and the Information–Risk Bridge JMLR 2024
Studying the Interplay between Information Loss and Operation Loss in Representations for Classification JMLR 2024
Entropic Gromov-Wasserstein Distances: Stability and Algorithms JMLR 2024
Approximate Information Tests on Statistical Submanifolds JMLR 2024
Conditions for parameter unidentifiability of linear ARX systems for enhancing security L4DC 2024
VOLIMET: A Parallel Corpus of Literal and Metaphorical Verb-Object Pairs for English–German and English–French NAACL 2024
Estimating the Rate-Distortion Function by Wasserstein Gradient Descent NIPS 2023
Information Maximization Perspective of Orthogonal Matching Pursuit with Applications to Explainable AI NIPS 2023
Explaining Predictive Uncertainty with Information Theoretic Shapley Values NIPS 2023
An Information-Theoretic Evaluation of Generative Models in Learning Multi-modal Distributions NIPS 2023