Information Theory

Information Theoretic Guarantees for Empirical Risk Minimization with Applications to Model Selection and Large-Scale Optimization ICML 2018 Information-theoretic Limits for Community Detection in Network Models NeurIPS 2018 Learning What Information to Give in Partially Observed Domains CoRL 2018 Power-law efficient neural codes provide general link between perceptual bias and discriminability NeurIPS 2018 The Spectrum of the Fisher Information Matrix of a Single-Hidden-Layer Neural Network NeurIPS 2018 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 German in Flux: Detecting Metaphoric Change via Word Entropy CoNLL 2017 Homogeneity Measure Impact on Target and Non-Target Trials in Forensic Voice Comparison Interspeech 2017 Information-theoretic analysis of generalization capability of learning algorithms NeurIPS 2017 Nonparanormal Information Estimation ICML 2017 Phase Transitions in the Pooled Data Problem NeurIPS 2017 Statistical Inference with Unnormalized Discrete Models and Localized Homogeneous Divergences JMLR 2017 Understanding Black-box Predictions via Influence Functions ICML 2017 An Information-Theoretic Analysis of Thompson Sampling JMLR 2016 Estimating Mutual Information in Under-Reported Variables PGM 2016 EVS Channel Aware Mode Robustness to Frame Erasures Interspeech 2016 Exact Exponent in Optimal Rates for Crowdsourcing ICML 2016 Measuring Dependence Powerfully and Equitably JMLR 2016 Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula NeurIPS 2016 The Information-Theoretic Requirements of Subspace Clustering with Missing Data ICML 2016 Discrete Rényi Classifiers NeurIPS 2015 Information-theoretic lower bounds for convex optimization with erroneous oracles NeurIPS 2015 Semi-Supervised Interpolation in an Anticausal Learning Scenario JMLR 2015 An Information Geometry of Statistical Manifold Learning ICML 2014