Mathematics

Pursuit and evasion in non-convex domains of arbitrary dimensions RSS 2006 Real-time adaptive information-theoretic optimization of neurophysiology experiments NeurIPS 2006 Similarity by Composition NeurIPS 2006 Speakers optimize information density through syntactic reduction NeurIPS 2006 Stability Properties of Empirical Risk Minimization over Donsker Classes JMLR 2006 Statistical Comparisons of Classifiers over Multiple Data Sets JMLR 2006 Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds NeurIPS 2006 Towards a general independent subspace analysis NeurIPS 2006 Walk-Sums and Belief Propagation in Gaussian Graphical Models JMLR 2006 Clustering with Bregman Divergences JMLR 2005 Estimation of Non-Normalized Statistical Models by Score Matching JMLR 2005 Expectation Consistent Approximate Inference JMLR 2005 Frames, Reproducing Kernels, Regularization and Learning JMLR 2005 Information Bottleneck for Gaussian Variables JMLR 2005 Kernel Methods for Measuring Independence JMLR 2005 Loopy Belief Propagation: Convergence and Effects of Message Errors JMLR 2005 Maximum Margin Algorithms with Boolean Kernels JMLR 2005 On the Nystrom Method for Approximating a Gram Matrix for Improved Kernel-Based Learning JMLR 2005 Quasi-Geodesic Neural Learning Algorithms Over the Orthogonal Group: A Tutorial JMLR 2005 Semigroup Kernels on Measures JMLR 2005 Efficient Feature Selection via Analysis of Relevance and Redundancy JMLR 2004 Non-negative Matrix Factorization with Sparseness Constraints JMLR 2004 PAC-learnability of Probabilistic Deterministic Finite State Automata JMLR 2004 Blind Source Separation via Generalized Eigenvalue Decomposition JMLR 2003 Dependence, Correlation and Gaussianity in Independent Component Analysis JMLR 2003