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Learning Theory

5,334 papers

Papers per year

17
66
123
466
307
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Papers

Prediction on a Graph with a Perceptron NIPS 2006
An Oracle Inequality for Clipped Regularized Risk Minimizers NIPS 2006
A PAC-Bayes Risk Bound for General Loss Functions NIPS 2006
Learnability and the doubling dimension NIPS 2006
Sample Complexity of Policy Search with Known Dynamics NIPS 2006
On the Complexity of Learning Lexicographic Strategies JMLR 2006
Learning the Structure of Linear Latent Variable Models JMLR 2006
Some Discriminant-Based PAC Algorithms JMLR 2006
Superior Guarantees for Sequential Prediction and Lossless Compression via Alphabet Decomposition JMLR 2006
Inductive Synthesis of Functional Programs: An Explanation Based Generalization Approach JMLR 2006
Toward Attribute Efficient Learning of Decision Lists and Parities JMLR 2006
Consistency and Convergence Rates of One-Class SVMs and Related Algorithms JMLR 2006
Learning Factor Graphs in Polynomial Time and Sample Complexity JMLR 2006
Learning a Hidden Hypergraph JMLR 2006
Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss JMLR 2006
Estimation of Gradients and Coordinate Covariation in Classification JMLR 2006
On Model Selection Consistency of Lasso JMLR 2006
Stability Properties of Empirical Risk Minimization over Donsker Classes JMLR 2006
A Robust Procedure For Gaussian Graphical Model Search From Microarray Data With p Larger Than n JMLR 2006
Stability of Randomized Learning Algorithms JMLR 2005
Multiclass Boosting for Weak Classifiers JMLR 2005
Tutorial on Practical Prediction Theory for Classification JMLR 2005
Generalization Bounds and Complexities Based on Sparsity and Clustering for Convex Combinations of Functions from Random Classes JMLR 2005
Generalization Bounds for the Area Under the ROC Curve JMLR 2005
Learning with Decision Lists of Data-Dependent Features JMLR 2005