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statistical learning

350 papers

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learning theory (518) sample complexity (1158) generalization bound (649) convergence rate (606) empirical risk minimization (348) information theory (489) bayesian inference (1904) hypothesis testing (254) differential privacy (1010) statistical learning theory (82)

Papers

Online Non-Parametric Regression COLT 2014
Fundamental Limits of Online and Distributed Algorithms for Statistical Learning and Estimation NIPS 2014
A New Perspective on Learning Linear Separators with Large L_qL_p Margins AISTATS 2014
Estimation with Norm Regularization NIPS 2014
Near-Optimal Density Estimation in Near-Linear Time Using Variable-Width Histograms NIPS 2014
Learning without concentration COLT 2014
Quantized Estimation of Gaussian Sequence Models in Euclidean Balls NIPS 2014
Consistency of weighted majority votes NIPS 2014
A Unified Framework for Consistency of Regularized Loss Minimizers ICML 2014
Rates of Convergence for Nearest Neighbor Classification NIPS 2014
Multivariate Maximal Correlation Analysis ICML 2014
PAC-Bayes-Empirical-Bernstein Inequality NIPS 2013
Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation NIPS 2013
Activized Learning with Uniform Classification Noise ICML 2013
Moment-based Uniform Deviation Bounds for $k$-means and Friends NIPS 2013
A simple criterion for controlling selection bias AISTATS 2013
Distribution-Free Distribution Regression AISTATS 2013
Online PCA for Contaminated Data NIPS 2013
Density estimation from unweighted k-nearest neighbor graphs: a roadmap NIPS 2013
Generalizing Analytic Shrinkage for Arbitrary Covariance Structures NIPS 2013
Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA NIPS 2013
A Comparative Framework for Preconditioned Lasso Algorithms NIPS 2013
Dirty Statistical Models NIPS 2013
Statistical Active Learning Algorithms NIPS 2013
Two-Sided Exponential Concentration Bounds for Bayes Error Rate and Shannon Entropy ICML 2013