Information Theory

Lower Bounds for Learning Distributions under Communication Constraints via Fisher Information JMLR 2020 Maintaining Quality in FEVER Annotation ACL 2020 Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications IJCAI 2020 Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions EMNLP 2020 Open Problem: Information Complexity of VC Learning COLT 2020 Optimal Bounds between f-Divergences and Integral Probability Metrics ICML 2020 Parallels Between Phase Transitions and Circuit Complexity? COLT 2020 Parameterized Rate-Distortion Stochastic Encoder ICML 2020 Processing effort is a poor predictor of cross-linguistic word order frequency CoNLL 2020 Profile Entropy: A Fundamental Measure for the Learnability and Compressibility of Distributions NeurIPS 2020 Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection AAAI 2020 Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms NeurIPS 2020 Surprisal Predicts Code-Switching in Chinese-English Bilingual Text EMNLP 2020 Time Series Analysis using a Kernel based Multi-Modal Uncertainty Decomposition Framework UAI 2020 Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation NeurIPS 2020 What time is it? Temporal Analysis of Novels EMNLP 2020 A Direct tilde{O}(1/epsilon) Iteration Parallel Algorithm for Optimal Transport NeurIPS 2019 CCMI : Classifier based Conditional Mutual Information Estimation UAI 2019 Database Alignment with Gaussian Features AISTATS 2019 Estimating Entropy of Distributions in Constant Space NeurIPS 2019 Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and Applications ICML 2019 Fast structure learning with modular regularization NeurIPS 2019 High-Throughput Computation of Shannon Mutual Information on Chip RSS 2019 Inference under Information Constraints: Lower Bounds from Chi-Square Contraction COLT 2019 Inherent Tradeoffs in Learning Fair Representations NeurIPS 2019