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Statistical Learning

4,117 papers

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Papers

Minimax hypothesis testing for curve registration AISTATS 2012
Wilks’ phenomenon and penalized likelihood-ratio test for nonparametric curve registration AISTATS 2012
Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space AISTATS 2012
Statistical test for consistent estimation of causal effects in linear non-Gaussian models AISTATS 2012
Semiparametric Pseudo-Likelihood Estimation in Markov Random Fields AISTATS 2012
Marginal Regression For Multitask Learning AISTATS 2012
Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets AISTATS 2012
Nonparametric Estimation of Conditional Information and Divergences AISTATS 2012
Domain Adaptation: A Small Sample Statistical Approach AISTATS 2012
Joint Estimation of Structured Sparsity and Output Structure in Multiple-Output Regression via Inverse-Covariance Regularization AISTATS 2012
Consistency and Rates for Clustering with DBSCAN AISTATS 2012
On Estimation and Selection for Topic Models AISTATS 2012
Statistical Optimization in High Dimensions AISTATS 2012
PAC-Bayesian Bound for Gaussian Process Regression and Multiple Kernel Additive Model COLT 2012
Random Design Analysis of Ridge Regression COLT 2012
Reconstruction from Anisotropic Random Measurements COLT 2012
L1 Covering Numbers for Uniformly Bounded Convex Functions COLT 2012
Consistency of Nearest Neighbor Classification under Selective Sampling COLT 2012
Competitive Classification and Closeness Testing COLT 2012
Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics JMLR 2012
Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming JMLR 2012
Consistent Model Selection Criteria on High Dimensions JMLR 2012
Analysis of a Random Forests Model JMLR 2012
On Ranking and Generalization Bounds JMLR 2012
Restricted Strong Convexity and Weighted Matrix Completion: Optimal Bounds with Noise JMLR 2012