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Information Theory

495 directly classified papers

Papers per year

Papers

Measuring the Similarity of Grammatical Gender Systems by Comparing Partitions EMNLP 2020
Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms NIPS 2020
Fast Unbalanced Optimal Transport on a Tree NIPS 2020
Decentralized Multi-player Multi-armed Bandits with No Collision Information AISTATS 2020
Formal Limitations on the Measurement of Mutual Information AISTATS 2020
Imputation estimators for unnormalized models with missing data AISTATS 2020
Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation NIPS 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
An approximate KLD based experimental design for models with intractable likelihoods AISTATS 2020
It’s Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information ACL 2020
Estimating Mutual Information Between Dense Word Embeddings ACL 2020
Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms NIPS 2020
Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications IJCAI 2020
A mathematical theory of cooperative communication NIPS 2020
Parallels Between Phase Transitions and Circuit Complexity? COLT 2020
Applications of Common Entropy for Causal Inference NIPS 2020
Conditioning and Processing: Techniques to Improve Information-Theoretic Generalization Bounds NIPS 2020
Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks NIPS 2020
Information theoretic limits of learning a sparse rule NIPS 2020
Limits on Testing Structural Changes in Ising Models NIPS 2020
Profile Entropy: A Fundamental Measure for the Learnability and Compressibility of Distributions NIPS 2020
Chaining Meets Chain Rule: Multilevel Entropic Regularization and Training of Neural Networks JMLR 2020
Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection AAAI 2020
Maximum Entropy Distributions: Bit Complexity and Stability COLT 2019