Theory

Accurate Error Bounds for the Eigenvalues of the Kernel Matrix JMLR 2006 AdaBoost is Consistent NeurIPS 2006 A Graphical Representation of Equivalence Classes of AMP Chain Graphs JMLR 2006 A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems NeurIPS 2006 Analysis of Contour Motions NeurIPS 2006 Analysis of Representations for Domain Adaptation NeurIPS 2006 An Oracle Inequality for Clipped Regularized Risk Minimizers NeurIPS 2006 Bounds for Linear Multi-Task Learning JMLR 2006 Consistency and Convergence Rates of One-Class SVMs and Related Algorithms JMLR 2006 Convergence of Laplacian Eigenmaps NeurIPS 2006 Denoising and Dimension Reduction in Feature Space NeurIPS 2006 Fundamental Limitations of Spectral Clustering NeurIPS 2006 Inductive Synthesis of Functional Programs: An Explanation Based Generalization Approach JMLR 2006 Infinite-σ Limits For Tikhonov Regularization JMLR 2006 Kernels on Structured Objects Through Nested Histograms NeurIPS 2006 Learnability and the doubling dimension NeurIPS 2006 Lower Bounds and Aggregation in Density Estimation JMLR 2006 No-regret Algorithms for Online Convex Programs NeurIPS 2006 On Comparing the Power of Mobile Robots RSS 2006 On Model Selection Consistency of Lasso JMLR 2006 On Representing and Generating Kernels by Fuzzy Equivalence Relations JMLR 2006 On the Complexity of Learning Lexicographic Strategies JMLR 2006 Optimal Single-Class Classification Strategies NeurIPS 2006 Ordinal Regression by Extended Binary Classification NeurIPS 2006 Shifting, One-Inclusion Mistake Bounds and Tight Multiclass Expected Risk Bounds NeurIPS 2006