Statistics

A Wild Bootstrap for Degenerate Kernel Tests NeurIPS 2014 Bio-Artificial Synergies for Grasp Posture Control of Supernumerary Robotic Fingers RSS 2014 Concept Drift Detection Through Resampling ICML 2014 Covariance shrinkage for autocorrelated data NeurIPS 2014 Elementary Estimators for Sparse Covariance Matrices and other Structured Moments ICML 2014 Exact Post Model Selection Inference for Marginal Screening NeurIPS 2014 Exponential Family Matrix Completion under Structural Constraints ICML 2014 Gaussian Copula Precision Estimation with Missing Values AISTATS 2014 Generalized Exponential Concentration Inequality for Renyi Divergence Estimation ICML 2014 High-Dimensional Covariance Decomposition into Sparse Markov and Independence Models JMLR 2014 High-Dimensional Learning of Linear Causal Networks via Inverse Covariance Estimation JMLR 2014 Kernel Mean Estimation and Stein Effect ICML 2014 Learning Mixtures of Discrete Product Distributions using Spectral Decompositions COLT 2014 Link Prediction in Graphs with Autoregressive Features JMLR 2014 Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection ICML 2014 Minimax-optimal Inference from Partial Rankings NeurIPS 2014 Multiple Testing under Dependence via Semiparametric Graphical Models ICML 2014 Multivariate f-divergence Estimation With Confidence NeurIPS 2014 Near-Optimal Density Estimation in Near-Linear Time Using Variable-Width Histograms NeurIPS 2014 Nonparametric estimation and testing of exchangeable graph models AISTATS 2014 Nonparametric Estimation of Renyi Divergence and Friends ICML 2014 PEWA: Patch-based Exponentially Weighted Aggregation for image denoising NeurIPS 2014 Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows ICML 2014 Probabilistic Solutions to Differential Equations and their Application to Riemannian Statistics AISTATS 2014 Quantized Estimation of Gaussian Sequence Models in Euclidean Balls NeurIPS 2014