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Learning Theory

5,334 papers

Papers per year

17
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123
466
307
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Papers

An analysis on negative curvature induced by singularity in multi-layer neural-network learning NIPS 2010
Optimal learning rates for Kernel Conjugate Gradient regression NIPS 2010
Rates of convergence for the cluster tree NIPS 2010
Parametric Bandits: The Generalized Linear Case NIPS 2010
On the Theory of Learnining with Privileged Information NIPS 2010
Two-Layer Generalization Analysis for Ranking Using Rademacher Average NIPS 2010
Empirical Bernstein Inequalities for U-Statistics NIPS 2010
Online Learning: Random Averages, Combinatorial Parameters, and Learnability NIPS 2010
Variable margin losses for classifier design NIPS 2010
Lower Bounds on Rate of Convergence of Cutting Plane Methods NIPS 2010
The LASSO risk: asymptotic results and real world examples NIPS 2010
Towards Property-Based Classification of Clustering Paradigms NIPS 2010
Minimum Conditional Entropy Clustering: A Discriminative Framework for Clustering ACML 2010
The Coding Divergence for Measuring the Complexity of Separating Two Sets ACML 2010
Finite-sample Analysis of Bellman Residual Minimization ACML 2010
Kernel Partial Least Squares is Universally Consistent AISTATS 2010
On the Impact of Kernel Approximation on Learning Accuracy AISTATS 2010
Impossibility Theorems for Domain Adaptation AISTATS 2010
Why Does Unsupervised Pre-training Help Deep Learning? AISTATS 2010
Regret Bounds for Gaussian Process Bandit Problems AISTATS 2010
Negative Results for Active Learning with Convex Losses AISTATS 2010
Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity AISTATS 2010
Relating Function Class Complexity and Cluster Structure in the Function Domain with Applications to Transduction AISTATS 2010
Contextual Multi-Armed Bandits AISTATS 2010
Reduced-Rank Hidden Markov Models AISTATS 2010