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Statistics

122 directly classified papers

Papers per year

Papers

Confidence Intervals and Hypothesis Testing for High-Dimensional Statistical Models NIPS 2013
The Randomized Dependence Coefficient NIPS 2013
PAC-Bayes-Empirical-Bernstein Inequality NIPS 2013
Spectral methods for neural characterization using generalized quadratic models NIPS 2013
Estimating the Unseen: Improved Estimators for Entropy and other Properties NIPS 2013
MCMC for continuous-time discrete-state systems NIPS 2012
Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets AISTATS 2012
Near-optimal Differentially Private Principal Components NIPS 2012
Semiparametric Principal Component Analysis NIPS 2012
Ensemble weighted kernel estimators for multivariate entropy estimation NIPS 2012
Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data NIPS 2012
Learning Auto-regressive Models from Sequence and Non-sequence Data NIPS 2011
Empirical Bernstein Inequalities for U-Statistics NIPS 2010
Robust Nonparametric Regression with Metric-Space Valued Output NIPS 2009
Efficient Moments-based Permutation Tests NIPS 2009
An improved estimator of Variance Explained in the presence of noise NIPS 2008
Near-minimax recursive density estimation on the binary hypercube NIPS 2008
Density Estimation under Independent Similarly Distributed Sampling Assumptions NIPS 2007
Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization NIPS 2007
The Distribution Family of Similarity Distances NIPS 2007
Catching Change-points with Lasso NIPS 2007
Non-parametric Modeling of Partially Ranked Data NIPS 2007