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Learning Theory

5312 directly classified papers

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Papers

Random Design Analysis of Ridge Regression COLT 2012
Imitation Learning by Coaching NIPS 2012
Optimal Regularized Dual Averaging Methods for Stochastic Optimization NIPS 2012
Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space NIPS 2012
Risk-Aversion in Multi-armed Bandits NIPS 2012
Mirror Descent Meets Fixed Share (and feels no regret) NIPS 2012
Iterative ranking from pair-wise comparisons NIPS 2012
Learning from Distributions via Support Measure Machines NIPS 2012
Fast Learning Rate of Multiple Kernel Learning: Trade-Off between Sparsity and Smoothness AISTATS 2012
Learning Fourier Sparse Set Functions AISTATS 2012
Multi-armed Bandit Problems with History AISTATS 2012
Random Search for Hyper-Parameter Optimization JMLR 2012
Learning Probability Measures with respect to Optimal Transport Metrics NIPS 2012
Exponential Concentration for Mutual Information Estimation with Application to Forests NIPS 2012
On the Necessity of Irrelevant Variables JMLR 2012
On Ranking and Generalization Bounds JMLR 2012
Sample Complexity of Composite Likelihood AISTATS 2012
Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space AISTATS 2012
The adversarial stochastic shortest path problem with unknown transition probabilities AISTATS 2012
Online Submodular Minimization JMLR 2012
Multi-Instance Learning with Any Hypothesis Class JMLR 2012
On the Convergence Rate of -Norm Multiple Kernel Learning JMLR 2012
Mixability is Bayes Risk Curvature Relative to Log Loss JMLR 2012
Activized Learning: Transforming Passive to Active with Improved Label Complexity JMLR 2012
Structured Sparsity and Generalization JMLR 2012