Theory

Dependence of Orientation Tuning on Recurrent Excitation and Inhibition in a Network Model of V1 NeurIPS 2008 Diffeomorphic Dimensionality Reduction NeurIPS 2008 From Online to Batch Learning with Cutoff-Averaging NeurIPS 2008 High-dimensional support union recovery in multivariate regression NeurIPS 2008 Improved Moves for Truncated Convex Models NeurIPS 2008 Kernel Measures of Independence for non-iid Data NeurIPS 2008 Learning with Consistency between Inductive Functions and Kernels NeurIPS 2008 Manifold Learning: The Price of Normalization JMLR 2008 Measures of Clustering Quality: A Working Set of Axioms for Clustering NeurIPS 2008 Multi-stage Convex Relaxation for Learning with Sparse Regularization NeurIPS 2008 On Bootstrapping the ROC Curve NeurIPS 2008 On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing NeurIPS 2008 On Relevant Dimensions in Kernel Feature Spaces JMLR 2008 On the asymptotic equivalence between differential Hebbian and temporal difference learning using a local third factor NeurIPS 2008 On the Equivalence of Linear Dimensionality-Reducing Transformations JMLR 2008 On the Reliability of Clustering Stability in the Large Sample Regime NeurIPS 2008 Performance analysis for L\_2 kernel classification NeurIPS 2008 Phase transitions for high-dimensional joint support recovery NeurIPS 2008 Posterior Consistency of the Silverman g-prior in Bayesian Model Choice NeurIPS 2008 Rademacher Complexity Bounds for Non-I.I.D. Processes NeurIPS 2008 Resolution Limits of Sparse Coding in High Dimensions NeurIPS 2008 Spectral Clustering with Perturbed Data NeurIPS 2008 Spectral Hashing NeurIPS 2008 Theory of matching pursuit NeurIPS 2008 Value Function Based Reinforcement Learning in Changing Markovian Environments JMLR 2008