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statistical learning theory

82 papers

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statistical learning (350) support vector machine (976) generalization bound (649) empirical risk minimization (348) learning theory (518) kernel methods (1096) generalization error (285) rademacher complexity (108) learning rate (192) reproducing kernel hilbert space (334)

Papers

When Does Label Propagation Fail? A View from a Network Generative Model IJCAI 2017
Consistency Analysis for Binary Classification Revisited ICML 2017
Fast Rates in Statistical and Online Learning JMLR 2015
On the Pseudo-Dimension of Nearly Optimal Auctions NIPS 2015
Algorithmic Stability and Uniform Generalization NIPS 2015
Regularized M-estimators with Nonconvexity: Statistical and Algorithmic Theory for Local Optima JMLR 2015
Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis ICML 2014
Kernel Mean Estimation via Spectral Filtering NIPS 2014
Deep Fisher Kernels - End to End Learning of the Fisher Kernel GMM Parameters CVPR 2014
Honest Compressions and Their Application to Compression Schemes COLT 2013
Information-theoretic lower bounds for distributed statistical estimation with communication constraints NIPS 2013
Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation NIPS 2013
Complexity Theoretic Lower Bounds for Sparse Principal Component Detection COLT 2013
Estimation of Extreme Values and Associated Level Sets of a Regression Function via Selective Sampling COLT 2013
Moment-based Uniform Deviation Bounds for $k$-means and Friends NIPS 2013
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima NIPS 2013
Sequential Event Prediction with Association Rules COLT 2011
Learning with the weighted trace-norm under arbitrary sampling distributions NIPS 2011
Learnability, Stability and Uniform Convergence JMLR 2010
Permutation Complexity Bound on Out-Sample Error NIPS 2010
On Herding and the Perceptron Cycling Theorem NIPS 2010
Human Active Learning NIPS 2008
Sparsity of SVMs that use the epsilon-insensitive loss NIPS 2008
Performance analysis for L\_2 kernel classification NIPS 2008
Consistent Minimization of Clustering Objective Functions NIPS 2007