Information Theory

Kernel Measures of Independence for non-iid Data NeurIPS 2008 Resolution Limits of Sparse Coding in High Dimensions NeurIPS 2008 The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction NeurIPS 2008 A Kernel Statistical Test of Independence NeurIPS 2007 A Unified Near-Optimal Estimator For Dimension Reduction in l_α (0<α≤ 2) Using Stable Random Projections NeurIPS 2007 Better than least squares: comparison of objective functions for estimating linear-nonlinear models NeurIPS 2007 Classification via Minimum Incremental Coding Length (MICL) NeurIPS 2007 Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations NeurIPS 2007 An Information Theoretic Framework for Eukaryotic Gradient Sensing NeurIPS 2006 Differential Entropic Clustering of Multivariate Gaussians NeurIPS 2006 Geometric entropy minimization (GEM) for anomaly detection and localization NeurIPS 2006 Information Bottleneck for Non Co-Occurrence Data NeurIPS 2006 Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons NeurIPS 2006 Real-time adaptive information-theoretic optimization of neurophysiology experiments NeurIPS 2006 Similarity by Composition NeurIPS 2006 Speakers optimize information density through syntactic reduction NeurIPS 2006 Clustering with Bregman Divergences JMLR 2005 Information Bottleneck for Gaussian Variables JMLR 2005 Kernel Methods for Measuring Independence JMLR 2005 Semigroup Kernels on Measures JMLR 2005 Efficient Feature Selection via Analysis of Relevance and Redundancy JMLR 2004 Dependence, Correlation and Gaussianity in Independent Component Analysis JMLR 2003 ICA Using Spacings Estimates of Entropy JMLR 2003