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Theory

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Papers

Diffeomorphic Dimensionality Reduction NIPS 2008
High-dimensional support union recovery in multivariate regression NIPS 2008
Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm NIPS 2008
Theory of matching pursuit NIPS 2008
Rademacher Complexity Bounds for Non-I.I.D. Processes NIPS 2008
Resolution Limits of Sparse Coding in High Dimensions NIPS 2008
Learning with Consistency between Inductive Functions and Kernels NIPS 2008
A general framework for investigating how far the decoding process in the brain can be simplified NIPS 2008
Improved Moves for Truncated Convex Models NIPS 2008
Posterior Consistency of the Silverman g-prior in Bayesian Model Choice NIPS 2008
Clusters and Coarse Partitions in LP Relaxations NIPS 2008
Dependence of Orientation Tuning on Recurrent Excitation and Inhibition in a Network Model of V1 NIPS 2008
Phase transitions for high-dimensional joint support recovery NIPS 2008
Kernel Measures of Independence for non-iid Data NIPS 2008
On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing NIPS 2008
Measures of Clustering Quality: A Working Set of Axioms for Clustering NIPS 2008
On the Reliability of Clustering Stability in the Large Sample Regime NIPS 2008
Spectral Hashing NIPS 2008
Consistency of Trace Norm Minimization JMLR 2008
A Bahadur Representation of the Linear Support Vector Machine JMLR 2008
Value Function Based Reinforcement Learning in Changing Markovian Environments JMLR 2008
On Relevant Dimensions in Kernel Feature Spaces JMLR 2008
Manifold Learning: The Price of Normalization JMLR 2008
Complete Identification Methods for the Causal Hierarchy JMLR 2008
On the Equivalence of Linear Dimensionality-Reducing Transformations JMLR 2008