Statistics

Generalized Random Utility Models with Multiple Types NeurIPS 2013 Generalizing Analytic Shrinkage for Arbitrary Covariance Structures NeurIPS 2013 Graphical Models for Inference with Missing Data NeurIPS 2013 Large Scale Distributed Sparse Precision Estimation NeurIPS 2013 Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition NeurIPS 2013 Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation NeurIPS 2013 Near-optimal Anomaly Detection in Graphs using Lovasz Extended Scan Statistic NeurIPS 2013 PAC-Bayes-Empirical-Bernstein Inequality NeurIPS 2013 Pairwise Likelihood Ratios for Estimation of Non-Gaussian Structural Equation Models JMLR 2013 Randomized partition trees for exact nearest neighbor search COLT 2013 Robust Sparse Principal Component Regression under the High Dimensional Elliptical Model NeurIPS 2013 Scoring Workers in Crowdsourcing: How Many Control Questions are Enough? NeurIPS 2013 Speeding up Permutation Testing in Neuroimaging NeurIPS 2013 The Bigraphical Lasso ICML 2013 The Randomized Dependence Coefficient NeurIPS 2013 Two-Sided Exponential Concentration Bounds for Bayes Error Rate and Shannon Entropy ICML 2013 Ultrahigh Dimensional Feature Screening via RKHS Embeddings AISTATS 2013 Using Hyperbolic Cross Approximation to measure and compensate Covariate Shift ACML 2013 What do row and column marginals reveal about your dataset? NeurIPS 2013 AIC and BIC based approaches for SVM parameter value estimation with RBF kernels ACML 2012 Assessing Blinding in Clinical Trials NeurIPS 2012 Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets AISTATS 2012 Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence NeurIPS 2012 Density-Difference Estimation NeurIPS 2012 Dimensionality Dependent PAC-Bayes Margin Bound NeurIPS 2012