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1219 directly classified papers

Papers per year

Papers

Variable Selection in High-Dimension with Random Designs and Orthogonal Matching Pursuit JMLR 2013
Asymptotic Results on Adaptive False Discovery Rate Controlling Procedures Based on Kernel Estimators JMLR 2013
Recursive Karcher Expectation Estimators And Geometric Law of Large Numbers AISTATS 2013
Sparse Principal Component Analysis for High Dimensional Multivariate Time Series AISTATS 2013
Estimating the Unseen: Improved Estimators for Entropy and other Properties NIPS 2013
Confidence Intervals and Hypothesis Testing for High-Dimensional Statistical Models NIPS 2013
Density estimation from unweighted k-nearest neighbor graphs: a roadmap NIPS 2013
Sparse Inverse Covariance Estimation with Calibration NIPS 2013
The Randomized Dependence Coefficient NIPS 2013
B-test: A Non-parametric, Low Variance Kernel Two-sample Test NIPS 2013
Generalizing Analytic Shrinkage for Arbitrary Covariance Structures NIPS 2013
Estimating LASSO Risk and Noise Level NIPS 2013
A Kernel Test for Three-Variable Interactions NIPS 2013
On model selection consistency of penalized M-estimators: a geometric theory NIPS 2013
On the Convergence of Maximum Variance Unfolding JMLR 2013
A Risk Comparison of Ordinary Least Squares vs Ridge Regression JMLR 2013
A Statistical Model for Recreational Trails in Aerial Images CVPR 2013
A Competitive Test for Uniformity of Monotone Distributions AISTATS 2013
A Parallel, Block Greedy Method for Sparse Inverse Covariance Estimation for Ultra-high Dimensions AISTATS 2013
Structure Learning of Mixed Graphical Models AISTATS 2013
High-dimensional Inference via Lipschitz Sparsity-Yielding Regularizers AISTATS 2013
Parallel Transport of Deformations in Shape Space of Elastic Surfaces ICCV 2013
Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination NIPS 2012
Consistent Model Selection Criteria on High Dimensions JMLR 2012
Testing for Membership to the IFRA and the NBU Classes of Distributions AISTATS 2012