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835 papers

MI

Papers

Meta-Gaussian Information Bottleneck NeurIPS 2012 Optimal Neural Tuning Curves for Arbitrary Stimulus Distributions: Discrimax, Infomax and Minimum L_p Loss NeurIPS 2012 Computationally Efficient Sufficient Dimension Reduction via Squared-Loss Mutual Information ACML 2011 How biased are maximum entropy models? NeurIPS 2011 Information Theoretical Clustering via Semidefinite Programming AISTATS 2011 On the Estimation of α-Divergences AISTATS 2011 PAC-Bayesian Analysis of Contextual Bandits NeurIPS 2011 Query-Aware MCMC NeurIPS 2011 Active Instance Sampling via Matrix Partition NeurIPS 2010 Estimation of Rényi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs NeurIPS 2010 Implicit encoding of prior probabilities in optimal neural populations NeurIPS 2010 Infinite Relational Modeling of Functional Connectivity in Resting State fMRI NeurIPS 2010 Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance JMLR 2010 Multitask Learning without Label Correspondences NeurIPS 2010 Sufficient Dimension Reduction via Squared-loss Mutual Information Estimation AISTATS 2010 Unsupervised Kernel Dimension Reduction NeurIPS 2010 Adaptive Design Optimization in Experiments with People NeurIPS 2009 A Rate Distortion Approach for Semi-Supervised Conditional Random Fields NeurIPS 2009 Entropy Inference and the James-Stein Estimator, with Application to Nonlinear Gene Association Networks JMLR 2009 Exploring Functional Connectivities of the Human Brain using Multivariate Information Analysis NeurIPS 2009 Nonextensive Information Theoretic Kernels on Measures JMLR 2009 Estimation of Information Theoretic Measures for Continuous Random Variables NeurIPS 2008 ICA based on a Smooth Estimation of the Differential Entropy NeurIPS 2008 Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies JMLR 2008 Better than least squares: comparison of objective functions for estimating linear-nonlinear models NeurIPS 2007