Information Theory

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 The Variational Structure of Disparity and Regularization of 4D Light Fields CVPR 2013 A Characterization of Scoring Rules for Linear Properties COLT 2012 Coding efficiency and detectability of rate fluctuations with non-Poisson neuronal firing NeurIPS 2012 Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection JMLR 2012 Divergences and Risks for Multiclass Experiments COLT 2012 Ensemble weighted kernel estimators for multivariate entropy estimation NeurIPS 2012 Entropy Estimations Using Correlated Symmetric Stable Random Projections NeurIPS 2012 Exponential Concentration for Mutual Information Estimation with Application to Forests NeurIPS 2012 Information Theoretic Model Validation for Spectral Clustering AISTATS 2012 Learning Fourier Sparse Set Functions AISTATS 2012 Meta-Gaussian Information Bottleneck NeurIPS 2012 Neuronal Spike Generation Mechanism as an Oversampling, Noise-shaping A-to-D converter NeurIPS 2012 Nonparametric Estimation of Conditional Information and Divergences AISTATS 2012 Optimal Neural Tuning Curves for Arbitrary Stimulus Distributions: Discrimax, Infomax and Minimum L_p Loss NeurIPS 2012 Submodular-Bregman and the Lovász-Bregman Divergences with Applications NeurIPS 2012 Tight Bounds on Profile Redundancy and Distinguishability NeurIPS 2012 Toward Information Theoretic Human-Robot Dialog RSS 2012 A New Algorithm for Compressed Counting with Applications in Shannon Entropy Estimation in Dynamic Data COLT 2011 Efficient coding of natural images with a population of noisy Linear-Nonlinear neurons NeurIPS 2011 How biased are maximum entropy models? NeurIPS 2011 Information, Divergence and Risk for Binary Experiments JMLR 2011 Lower Bounds for Passive and Active Learning NeurIPS 2011