Statistics

Transelliptical Component Analysis NeurIPS 2012 Transelliptical Graphical Models NeurIPS 2012 Volume Regularization for Binary Classification NeurIPS 2012 Adaptive Density Level Set Clustering COLT 2011 A More Powerful Two-Sample Test in High Dimensions using Random Projection NeurIPS 2011 A New Algorithm for Compressed Counting with Applications in Shannon Entropy Estimation in Dynamic Data COLT 2011 Competitive Closeness Testing COLT 2011 Continuous-Time Regression Models for Longitudinal Networks NeurIPS 2011 Differentially Private M-Estimators NeurIPS 2011 Empirical models of spiking in neural populations NeurIPS 2011 Generalization Bound for Infinitely Divisible Empirical Process AISTATS 2011 Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss NeurIPS 2011 High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions NeurIPS 2011 How biased are maximum entropy models? NeurIPS 2011 Improving Policy Gradient Estimates with Influence Information ACML 2011 Information Rates and Optimal Decoding in Large Neural Populations NeurIPS 2011 On the accuracy of l1-filtering of signals with block-sparse structure NeurIPS 2011 Signal Estimation Under Random Time-Warpings and Nonlinear Signal Alignment NeurIPS 2011 Sparse recovery by thresholded non-negative least squares NeurIPS 2011 Spectral Methods for Learning Multivariate Latent Tree Structure NeurIPS 2011 Unifying Non-Maximum Likelihood Learning Objectives with Minimum KL Contraction NeurIPS 2011 A novel family of non-parametric cumulative based divergences for point processes NeurIPS 2010 Collaborative Filtering via Rating Concentration AISTATS 2010 Empirical Bernstein Inequalities for U-Statistics NeurIPS 2010 Interval Estimation for Reinforcement-Learning Algorithms in Continuous-State Domains NeurIPS 2010