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Theory

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Papers

VC Theory of Large Margin Multi-Category Classifiers JMLR 2007
Ordinal Regression by Extended Binary Classification NIPS 2006
The Robustness-Performance Tradeoff in Markov Decision Processes NIPS 2006
Tighter PAC-Bayes Bounds NIPS 2006
Stability of $K$-Means Clustering NIPS 2006
Convergence of Laplacian Eigenmaps NIPS 2006
Analysis of Contour Motions NIPS 2006
A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems NIPS 2006
Shifting, One-Inclusion Mistake Bounds and Tight Multiclass Expected Risk Bounds NIPS 2006
Optimal Single-Class Classification Strategies NIPS 2006
Analysis of Representations for Domain Adaptation NIPS 2006
AdaBoost is Consistent NIPS 2006
Fundamental Limitations of Spectral Clustering NIPS 2006
An Oracle Inequality for Clipped Regularized Risk Minimizers NIPS 2006
Kernels on Structured Objects Through Nested Histograms NIPS 2006
No-regret Algorithms for Online Convex Programs NIPS 2006
Learnability and the doubling dimension NIPS 2006
Denoising and Dimension Reduction in Feature Space NIPS 2006
Statistical Comparisons of Classifiers over Multiple Data Sets JMLR 2006
On the Complexity of Learning Lexicographic Strategies JMLR 2006
Bounds for Linear Multi-Task Learning JMLR 2006
Inductive Synthesis of Functional Programs: An Explanation Based Generalization Approach JMLR 2006
Consistency and Convergence Rates of One-Class SVMs and Related Algorithms JMLR 2006
Infinite-σ Limits For Tikhonov Regularization JMLR 2006
Lower Bounds and Aggregation in Density Estimation JMLR 2006