Information Theory

Controlled Recognition Bounds for Visual Learning and Exploration NeurIPS 2012 Efficient Spike-Coding with Multiplicative Adaptation in a Spike Response Model NeurIPS 2012 Exponential Concentration for Mutual Information Estimation with Application to Forests NeurIPS 2012 Information Theoretic Model Validation for Spectral Clustering AISTATS 2012 Meta-Gaussian Information Bottleneck NeurIPS 2012 Nonparametric Estimation of Conditional Information and Divergences AISTATS 2012 Optimal kernel choice for large-scale two-sample tests NeurIPS 2012 Optimal Neural Tuning Curves for Arbitrary Stimulus Distributions: Discrimax, Infomax and Minimum L_p Loss NeurIPS 2012 The Perturbed Variation NeurIPS 2012 Tight Bounds on Profile Redundancy and Distinguishability NeurIPS 2012 Bounds on Individual Risk for Log-loss Predictors 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 Lower Bounds for Passive and Active Learning NeurIPS 2011 On the Estimation of α-Divergences AISTATS 2011 Relative Density-Ratio Estimation for Robust Distribution Comparison NeurIPS 2011 Thinning Measurement Models and Questionnaire Design NeurIPS 2011 Unifying Non-Maximum Likelihood Learning Objectives with Minimum KL Contraction NeurIPS 2011 Discriminative Clustering by Regularized Information Maximization NeurIPS 2010 Divisive Normalization: Justification and Effectiveness as Efficient Coding Transform NeurIPS 2010 Estimation of Rényi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs NeurIPS 2010 Evaluating neuronal codes for inference using Fisher information NeurIPS 2010 Extensions of Generalized Binary Search to Group Identification and Exponential Costs NeurIPS 2010 Implicit encoding of prior probabilities in optimal neural populations NeurIPS 2010 REGO: Rank-based Estimation of Renyi Information using Euclidean Graph Optimization AISTATS 2010