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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

Distribution to Distribution Regression ICML 2013
Classification with Asymmetric Label Noise: Consistency and Maximal Denoising COLT 2013
Stochastic optimization and sparse statistical recovery: Optimal algorithms for high dimensions NIPS 2012
Mixability in Statistical Learning NIPS 2012
Consistent Model Selection Criteria on High Dimensions JMLR 2012
Domain Adaptation: A Small Sample Statistical Approach AISTATS 2012
Graphical Models via Generalized Linear Models NIPS 2012
On Ranking and Generalization Bounds JMLR 2012
Locating Changes in Highly Dependent Data with Unknown Number of Change Points NIPS 2012
A Polynomial-time Form of Robust Regression NIPS 2012
Analysis of a Random Forests Model JMLR 2012
Statistical Optimization in High Dimensions AISTATS 2012
Learning mixtures of Gaussians with maximum-a-posteriori oracle AISTATS 2011
Estimating beta-mixing coefficients AISTATS 2011
How biased are maximum entropy models? NIPS 2011
On U-processes and clustering performance NIPS 2011
Sample Complexity of Testing the Manifold Hypothesis NIPS 2010
Scrambled Objects for Least-Squares Regression NIPS 2010
Tight Sample Complexity of Large-Margin Learning NIPS 2010
Model Selection: Beyond the Bayesian/Frequentist Divide JMLR 2010
Learning Bounds for Importance Weighting NIPS 2010
Rates of convergence for the cluster tree NIPS 2010
Sufficient covariates and linear propensity analysis AISTATS 2010
Regularized Discriminant Analysis, Ridge Regression and Beyond JMLR 2010
Toward Provably Correct Feature Selection in Arbitrary Domains NIPS 2009