Information Theory

Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence AISTATS 2014 Discovering Structure in High-Dimensional Data Through Correlation Explanation NeurIPS 2014 Distributed Estimation, Information Loss and Exponential Families NeurIPS 2014 Fundamental Limits of Online and Distributed Algorithms for Statistical Learning and Estimation NeurIPS 2014 Nonlinear Information-Theoretic Compressive Measurement Design ICML 2014 Nonparametric Estimation of Renyi Divergence and Friends ICML 2014 On Communication Cost of Distributed Statistical Estimation and Dimensionality NeurIPS 2014 On the Information Theoretic Limits of Learning Ising Models NeurIPS 2014 Optimal prior-dependent neural population codes under shared input noise NeurIPS 2014 Quantized Estimation of Gaussian Sequence Models in Euclidean Balls NeurIPS 2014 Sparse meta-Gaussian information bottleneck ICML 2014 Spectral Clustering with Jensen-type Kernels and their Multi-point Extensions CVPR 2014 Standardized Mutual Information for Clustering Comparisons: One Step Further in Adjustment for Chance ICML 2014 Designed Measurements for Vector Count Data NeurIPS 2013 Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families COLT 2013 Information Complexity in Bandit Subset Selection COLT 2013 Information-theoretic lower bounds for distributed statistical estimation with communication constraints NeurIPS 2013 Least Informative Dimensions NeurIPS 2013 Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation NeurIPS 2013 Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation NeurIPS 2013 Optimal Neural Population Codes for High-dimensional Stimulus Variables NeurIPS 2013 Sensor Selection in High-Dimensional Gaussian Trees with Nuisances NeurIPS 2013 A Characterization of Scoring Rules for Linear Properties COLT 2012 Affine Independent Variational Inference NeurIPS 2012 AIC and BIC based approaches for SVM parameter value estimation with RBF kernels ACML 2012