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1,273 papers

Papers per year

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42
121
35
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Papers

Consistent Distribution-Free $K$-Sample and Independence Tests for Univariate Random Variables JMLR 2016
The Optimal Sample Complexity of PAC Learning JMLR 2016
On Quantile Regression in Reproducing Kernel Hilbert Spaces with the Data Sparsity Constraint JMLR 2016
On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm JMLR 2016
Kernel Mean Shrinkage Estimators JMLR 2016
Minimax Adaptive Estimation of Nonparametric Hidden Markov Models JMLR 2016
The Constrained Dantzig Selector with Enhanced Consistency JMLR 2016
Sparse PCA via Covariance Thresholding JMLR 2016
Covariance-based Clustering in Multivariate and Functional Data Analysis JMLR 2016
Penalized Maximum Likelihood Estimation of Multi-layered Gaussian Graphical Models JMLR 2016
A General Framework for Consistency of Principal Component Analysis JMLR 2016
Exploration of the (Non-)Asymptotic Bias and Variance of Stochastic Gradient Langevin Dynamics JMLR 2016
Augmentable Gamma Belief Networks JMLR 2016
Optimal Estimation of Derivatives in Nonparametric Regression JMLR 2016
Multivariate Spearman's $\rho$ for Aggregating Ranks Using Copulas JMLR 2016
ERRATA: On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm JMLR 2016
Choice of V for V-Fold Cross-Validation in Least-Squares Density Estimation JMLR 2016
Multi-scale Classification using Localized Spatial Depth JMLR 2016
Nonparametric von Mises Estimators for Entropies, Divergences and Mutual Informations NIPS 2015
Optimal Ridge Detection using Coverage Risk NIPS 2015
Optimal Testing for Properties of Distributions NIPS 2015
Evaluating the statistical significance of biclusters NIPS 2015
Testing Closeness With Unequal Sized Samples NIPS 2015
Learning with Group Invariant Features: A Kernel Perspective. NIPS 2015
Measuring Sample Quality with Stein's Method NIPS 2015