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264 directly classified papers

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Papers

Exact Post Model Selection Inference for Marginal Screening NIPS 2014
Elicitation and Identification of Properties COLT 2014
Using Projection Kurtosis Concentration Of Natural Images For Blind Noise Covariance Matrix Estimation CVPR 2014
Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families COLT 2013
Consistency of Robust Kernel Density Estimators COLT 2013
Generalized Method-of-Moments for Rank Aggregation NIPS 2013
Density estimation from unweighted k-nearest neighbor graphs: a roadmap NIPS 2013
Generalizing Analytic Shrinkage for Arbitrary Covariance Structures NIPS 2013
Estimating the Unseen: Improved Estimators for Entropy and other Properties NIPS 2013
On model selection consistency of penalized M-estimators: a geometric theory NIPS 2013
The Randomized Dependence Coefficient NIPS 2013
CODA: High Dimensional Copula Discriminant Analysis JMLR 2013
B-test: A Non-parametric, Low Variance Kernel Two-sample Test NIPS 2013
Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition NIPS 2013
Sparse Inverse Covariance Estimation with Calibration NIPS 2013
A Kernel Test for Three-Variable Interactions NIPS 2013
Estimating LASSO Risk and Noise Level NIPS 2013
Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation NIPS 2013
Robust Sparse Principal Component Regression under the High Dimensional Elliptical Model NIPS 2013
PAC-Bayes-Empirical-Bernstein Inequality NIPS 2013
Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators. NIPS 2013
Complexity Theoretic Lower Bounds for Sparse Principal Component Detection COLT 2013
Mixability in Statistical Learning NIPS 2012
Assessing Blinding in Clinical Trials NIPS 2012
Semiparametric Principal Component Analysis NIPS 2012