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Information Theory

548 papers

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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