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Information Theory

495 directly classified papers

Papers per year

Papers

Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability NIPS 2024
Online Sampling and Decision Making with Low Entropy IJCAI 2024
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning NIPS 2024
Which Information Matters? Dissecting Human-written Multi-document Summaries with Partial Information Decomposition ACL 2024
Analysing and Validating Language Complexity Metrics Across South American Indigenous Languages ACL 2024
Differentiable Information Bottleneck for Deterministic Multi-view Clustering CVPR 2024
Approximate Information Tests on Statistical Submanifolds JMLR 2024
Temperature-scaling surprisal estimates improve fit to human reading times – but does it do so for the “right reasons”? ACL 2024
Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data NIPS 2024
Studying the Interplay between Information Loss and Operation Loss in Representations for Classification JMLR 2024
Are Female Carpenters like Blue Bananas? A Corpus Investigation of Occupation Gender Typicality ACL 2024
Universal Exact Compression of Differentially Private Mechanisms NIPS 2024
Conditions for parameter unidentifiability of linear ARX systems for enhancing security L4DC 2024
Information-theoretic hypothesis generation of relative cue weighting for the voicing contrast INTERSPEECH 2024
The Sample Complexity of Simple Binary Hypothesis Testing COLT 2024
Gibbs-Based Information Criteria and the Over-Parameterized Regime AISTATS 2024
Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization AAAI 2024
An Information-Theoretic Approach to Analyze NLP Classification Tasks ACL 2024
Minimum Entropy Coupling with Bottleneck NIPS 2024
Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano ICML 2023
“World Knowledge” in Multiple Choice Reading Comprehension EACL 2023
Compressing Tabular Data via Latent Variable Estimation ICML 2023
An Information-Theoretic Evaluation of Generative Models in Learning Multi-modal Distributions NIPS 2023
Revisiting Entropy Rate Constancy in Text EMNLP 2023
Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework ICML 2023