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Statistical Learning

4076 directly classified papers

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Papers

Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models NIPS 2008
Rademacher Complexity Bounds for Non-I.I.D. Processes NIPS 2008
Empirical performance maximization for linear rank statistics NIPS 2008
Estimation of Information Theoretic Measures for Continuous Random Variables NIPS 2008
Generalization from Observed to Unobserved Features by Clustering JMLR 2008
Kernel Change-point Analysis NIPS 2008
Regularized Policy Iteration NIPS 2008
Bayesian Network Score Approximation using a Metagraph Kernel NIPS 2008
Risk Bounds for Randomized Sample Compressed Classifiers NIPS 2008
Localized Sliced Inverse Regression NIPS 2008
Sparsity of SVMs that use the epsilon-insensitive loss NIPS 2008
Characteristic Kernels on Groups and Semigroups NIPS 2008
Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images NIPS 2008
Consistency of the Group Lasso and Multiple Kernel Learning JMLR 2008
A New Algorithm for Estimating the Effective Dimension-Reduction Subspace JMLR 2008
A Bahadur Representation of the Linear Support Vector Machine JMLR 2008
Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models JMLR 2008
An Error Bound Based on a Worst Likely Assignment JMLR 2008
A Tutorial on Conformal Prediction JMLR 2008
Consistency of Random Forests and Other Averaging Classifiers JMLR 2008
Bayesian Quadratic Discriminant Analysis JMLR 2007
Covariate Shift Adaptation by Importance Weighted Cross Validation JMLR 2007
Value Regularization and Fenchel Duality JMLR 2007
PAC-Bayes Risk Bounds for Stochastic Averages and Majority Votes of Sample-Compressed Classifiers JMLR 2007
Cluster Stability for Finite Samples NIPS 2007