information theory

Phonetic Distance and Surprisal in Multilingual Priming: Evidence from Slavic Interspeech 2021 Precise Minimax Regret for Logistic Regression with Categorical Feature Values ALT 2021 Quantifying the Privacy Risks of Learning High-Dimensional Graphical Models AISTATS 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 Sliced Mutual Information: A Scalable Measure of Statistical Dependence NeurIPS 2021 SMURF: SeMantic and linguistic UndeRstanding Fusion for Caption Evaluation via Typicality Analysis ACL 2021 Tighter Expected Generalization Error Bounds via Wasserstein Distance NeurIPS 2021 Universal Rate-Distortion-Perception Representations for Lossy Compression NeurIPS 2021 Vocabulary Learning via Optimal Transport for Neural Machine Translation ACL 2021 What About the Precedent: An Information-Theoretic Analysis of Common Law NAACL 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 A Free-Energy Principle for Representation Learning ICML 2020 An Effectiveness Metric for Ordinal Classification: Formal Properties and Experimental Results ACL 2020 An Information-Theoretic Quantification of Discrimination with Exempt Features AAAI 2020 An information theoretic view on selecting linguistic probes EMNLP 2020 An Unsupervised Information-Theoretic Perceptual Quality Metric NeurIPS 2020 Applications of Common Entropy for Causal Inference NeurIPS 2020 Chaining Meets Chain Rule: Multilevel Entropic Regularization and Training of Neural Networks JMLR 2020 Constructing Minimal Perfect Hash Functions Using SAT Technology AAAI 2020 Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills ICML 2020 First-Order Bayesian Regret Analysis of Thompson Sampling ALT 2020 GAIT: A Geometric Approach to Information Theory AISTATS 2020 Improving Disentangled Text Representation Learning with Information-Theoretic Guidance ACL 2020