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Statistical Learning

4076 directly classified papers

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Papers

Risk Bounds for Levy Processes in the PAC-Learning Framework AISTATS 2010
Implicit encoding of prior probabilities in optimal neural populations NIPS 2010
Restricted Eigenvalue Properties for Correlated Gaussian Designs JMLR 2010
High Dimensional Inverse Covariance Matrix Estimation via Linear Programming JMLR 2010
Classification Methods with Reject Option Based on Convex Risk Minimization JMLR 2010
High-dimensional Variable Selection with Sparse Random Projections: Measurement Sparsity and Statistical Efficiency JMLR 2010
Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds JMLR 2010
Rademacher Complexities and Bounding the Excess Risk in Active Learning JMLR 2010
Practical Approaches to Principal Component Analysis in the Presence of Missing Values JMLR 2010
A Constant-Time Algorithm for Vector Field SLAM using an Exactly Sparse Extended Information Filter RSS 2010
On the Rate of Convergence of the Bagged Nearest Neighbor Estimate JMLR 2010
An Investigation of Missing Data Methods for Classification Trees Applied to Binary Response Data JMLR 2010
Model Selection: Beyond the Bayesian/Frequentist Divide JMLR 2010
Stochastic Composite Likelihood JMLR 2010
Learnability, Stability and Uniform Convergence JMLR 2010
Kernel Partial Least Squares is Universally Consistent AISTATS 2010
On Finding Predictors for Arbitrary Families of Processes JMLR 2010
Permutation Tests for Studying Classifier Performance JMLR 2010
Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and Stationary β-Mixing Processes JMLR 2010
On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation JMLR 2010
Learning Approximate Sequential Patterns for Classification JMLR 2009
Ultrahigh Dimensional Feature Selection: Beyond The Linear Model JMLR 2009
The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs JMLR 2009
Computing Maximum Likelihood Estimates in Recursive Linear Models with Correlated Errors JMLR 2009
Maximum Entropy Discrimination Markov Networks JMLR 2009