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Statistics

122 directly classified papers

Papers per year

Papers

Estimation of the covariance structure of heavy-tailed distributions NIPS 2017
Minimax Estimation of Bandable Precision Matrices NIPS 2017
The power of absolute discounting: all-dimensional distribution estimation NIPS 2017
Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods NIPS 2017
A Linear-Time Kernel Goodness-of-Fit Test NIPS 2017
Learning Populations of Parameters NIPS 2017
Finding significant combinations of features in the presence of categorical covariates NIPS 2016
Minimax Adaptive Estimation of Nonparametric Hidden Markov Models JMLR 2016
Density Estimation via Discrepancy Based Adaptive Sequential Partition NIPS 2016
Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators NIPS 2016
Multivariate tests of association based on univariate tests NIPS 2016
Efficient Nonparametric Smoothness Estimation NIPS 2016
Fast Two-Sample Testing with Analytic Representations of Probability Measures NIPS 2015
Nonparametric von Mises Estimators for Entropies, Divergences and Mutual Informations NIPS 2015
Principal Geodesic Analysis for Probability Measures under the Optimal Transport Metric NIPS 2015
M-Statistic for Kernel Change-Point Detection NIPS 2015
Competitive Distribution Estimation: Why is Good-Turing Good NIPS 2015
Quantized Estimation of Gaussian Sequence Models in Euclidean Balls NIPS 2014
PEWA: Patch-based Exponentially Weighted Aggregation for image denoising NIPS 2014
Covariance shrinkage for autocorrelated data NIPS 2014
Exact Post Model Selection Inference for Marginal Screening NIPS 2014
A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs NIPS 2014
Multivariate f-divergence Estimation With Confidence NIPS 2014
Generalizing Analytic Shrinkage for Arbitrary Covariance Structures NIPS 2013
Density estimation from unweighted k-nearest neighbor graphs: a roadmap NIPS 2013