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Information Theory

313 directly classified papers

Papers per year

Papers

Fully Understanding The Hashing Trick NIPS 2018
Power-law efficient neural codes provide general link between perceptual bias and discriminability NIPS 2018
The Spectrum of the Fisher Information Matrix of a Single-Hidden-Layer Neural Network NIPS 2018
Information-theoretic Limits for Community Detection in Network Models NIPS 2018
Generative Bridging Network for Neural Sequence Prediction NAACL 2018
Information Theoretic Guarantees for Empirical Risk Minimization with Applications to Model Selection and Large-Scale Optimization ICML 2018
Learning What Information to Give in Partially Observed Domains CORL 2018
GILBO: One Metric to Measure Them All NIPS 2018
A Direct Sum Result for the Information Complexity of Learning COLT 2018
Chaining Mutual Information and Tightening Generalization Bounds NIPS 2018
Information-theoretic analysis of generalization capability of learning algorithms NIPS 2017
German in Flux: Detecting Metaphoric Change via Word Entropy CONLL 2017
An Information-Theoretic Route from Generalization in Expectation to Generalization in Probability AISTATS 2017
Asymptotic Analysis of Objectives Based on Fisher Information in Active Learning JMLR 2017
Statistical Inference with Unnormalized Discrete Models and Localized Homogeneous Divergences JMLR 2017
Understanding Black-box Predictions via Influence Functions ICML 2017
Nonparanormal Information Estimation ICML 2017
Phase Transitions in the Pooled Data Problem NIPS 2017
Homogeneity Measure Impact on Target and Non-Target Trials in Forensic Voice Comparison INTERSPEECH 2017
Estimating Mutual Information in Under-Reported Variables PGM 2016
Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula NIPS 2016
Measuring Dependence Powerfully and Equitably JMLR 2016
The Information-Theoretic Requirements of Subspace Clustering with Missing Data ICML 2016
An Information-Theoretic Analysis of Thompson Sampling JMLR 2016
Exact Exponent in Optimal Rates for Crowdsourcing ICML 2016