information theory

Fundamental Limits of Online and Distributed Algorithms for Statistical Learning and Estimation NeurIPS 2014 Information-Theoretic Characterization of Sparse Recovery AISTATS 2014 Multivariate f-divergence Estimation With Confidence NeurIPS 2014 On the Information Theoretic Limits of Learning Ising Models NeurIPS 2014 Quantized Estimation of Gaussian Sequence Models in Euclidean Balls NeurIPS 2014 Standardized Mutual Information for Clustering Comparisons: One Step Further in Adjustment for Chance ICML 2014 Active Learning for Interactive Visualization AISTATS 2013 Bayesian entropy estimation for binary spike train data using parametric prior knowledge NeurIPS 2013 Discriminative Color Descriptors CVPR 2013 Exploiting Ontology Structures and Unlabeled Data for Learning ICML 2013 Information-theoretic lower bounds for distributed statistical estimation with communication constraints NeurIPS 2013 Least Informative Dimensions NeurIPS 2013 Optimal Neural Population Codes for High-dimensional Stimulus Variables NeurIPS 2013 Sparse Adaptive Dirichlet-Multinomial-like Processes COLT 2013 Active Learning from Multiple Knowledge Sources AISTATS 2012 Coding efficiency and detectability of rate fluctuations with non-Poisson neuronal firing NeurIPS 2012 Exponential Concentration for Mutual Information Estimation with Application to Forests NeurIPS 2012 Information Theoretic Model Validation for Spectral Clustering AISTATS 2012 Nonparametric Estimation of Conditional Information and Divergences AISTATS 2012 Restricted Strong Convexity and Weighted Matrix Completion: Optimal Bounds with Noise JMLR 2012 Tight Bounds on Profile Redundancy and Distinguishability NeurIPS 2012 Toward Information Theoretic Human-Robot Dialog RSS 2012 Competitive Closeness Testing COLT 2011 Information Rates and Optimal Decoding in Large Neural Populations NeurIPS 2011 Lower Bounds for Passive and Active Learning NeurIPS 2011