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Learning Theory

5,334 papers

Papers per year

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123
466
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Papers

Ranking Categorical Features Using Generalization Properties JMLR 2008
Consistency of the Group Lasso and Multiple Kernel Learning JMLR 2008
Using Markov Blankets for Causal Structure Learning JMLR 2008
Aggregation of SVM Classifiers Using Sobolev Spaces JMLR 2008
Nearly Uniform Validation Improves Compression-Based Error Bounds JMLR 2008
Learning from Multiple Sources JMLR 2008
Learning Balls of Strings from Edit Corrections JMLR 2008
Regret Minimization in Games with Incomplete Information NIPS 2007
The Tradeoffs of Large Scale Learning NIPS 2007
Convex Learning with Invariances NIPS 2007
Adaptive Online Gradient Descent NIPS 2007
Bundle Methods for Machine Learning NIPS 2007
Catching Up Faster in Bayesian Model Selection and Model Averaging NIPS 2007
Learning Bounds for Domain Adaptation NIPS 2007
The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information NIPS 2007
Statistical Analysis of Semi-Supervised Regression NIPS 2007
Cluster Stability for Finite Samples NIPS 2007
Stability Bounds for Non-i.i.d. Processes NIPS 2007
A general agnostic active learning algorithm NIPS 2007
Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs NIPS 2007
The Value of Labeled and Unlabeled Examples when the Model is Imperfect NIPS 2007
Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations NIPS 2007
Boosting the Area under the ROC Curve NIPS 2007
Computational Equivalence of Fixed Points and No Regret Algorithms, and Convergence to Equilibria NIPS 2007
Selecting Observations against Adversarial Objectives NIPS 2007