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684 directly classified papers

Papers per year

Papers

Estimation of Extreme Values and Associated Level Sets of a Regression Function via Selective Sampling COLT 2013
Generalized Method-of-Moments for Rank Aggregation NIPS 2013
A simple example of Dirichlet process mixture inconsistency for the number of components NIPS 2013
Differentially Private Feature Selection via Stability Arguments, and the Robustness of the Lasso COLT 2013
Density estimation from unweighted k-nearest neighbor graphs: a roadmap NIPS 2013
Scoring Workers in Crowdsourcing: How Many Control Questions are Enough? NIPS 2013
Robust Sparse Principal Component Regression under the High Dimensional Elliptical Model NIPS 2013
A Kernel Test for Three-Variable Interactions NIPS 2013
Estimating the Unseen: Improved Estimators for Entropy and other Properties NIPS 2013
Estimating LASSO Risk and Noise Level NIPS 2013
Generalizing Analytic Shrinkage for Arbitrary Covariance Structures NIPS 2013
Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation NIPS 2013
Adaptivity to Local Smoothness and Dimension in Kernel Regression NIPS 2013
Algorithms and Hardness for Robust Subspace Recovery COLT 2013
Classifier Selection using the Predicate Depth JMLR 2013
Pairwise Likelihood Ratios for Estimation of Non-Gaussian Structural Equation Models JMLR 2013
Randomized partition trees for exact nearest neighbor search COLT 2013
B-test: A Non-parametric, Low Variance Kernel Two-sample Test NIPS 2013
Auxiliary-variable Exact Hamiltonian Monte Carlo Samplers for Binary Distributions NIPS 2013
PAC-Bayes-Empirical-Bernstein Inequality NIPS 2013
Confidence Intervals and Hypothesis Testing for High-Dimensional Statistical Models NIPS 2013
AIC and BIC based approaches for SVM parameter value estimation with RBF kernels ACML 2012
High-Dimensional Gaussian Graphical Model Selection: Walk Summability and Local Separation Criterion JMLR 2012
The Perturbed Variation NIPS 2012
Semiparametric Principal Component Analysis NIPS 2012