Mathematics

Learning Bounded Treewidth Bayesian Networks JMLR 2008 Manifold Learning: The Price of Normalization JMLR 2008 Metastable Walking on Stochastically Rough Terrain RSS 2008 Mixed Membership Stochastic Blockmodels NeurIPS 2008 Modeling Short-term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex NeurIPS 2008 Model selection and velocity estimation using novel priors for motion patterns NeurIPS 2008 Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \boldmath$\ell_1$-regularized MLE NeurIPS 2008 Near-minimax recursive density estimation on the binary hypercube NeurIPS 2008 Non-parametric Regression Between Manifolds NeurIPS 2008 On Bootstrapping the ROC Curve NeurIPS 2008 Online Prediction on Large Diameter Graphs NeurIPS 2008 On the Equivalence of Linear Dimensionality-Reducing Transformations JMLR 2008 On the Size and Recovery of Submatrices of Ones in a Random Binary Matrix JMLR 2008 Optimal Response Initiation: Why Recent Experience Matters NeurIPS 2008 PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning NeurIPS 2008 QUIC-SVD: Fast SVD Using Cosine Trees NeurIPS 2008 Rademacher Complexity Bounds for Non-I.I.D. Processes NeurIPS 2008 Reducing statistical dependencies in natural signals using radial Gaussianization NeurIPS 2008 Resolution Limits of Sparse Coding in High Dimensions NeurIPS 2008 Scalable Algorithms for String Kernels with Inexact Matching NeurIPS 2008 Skill Characterization Based on Betweenness NeurIPS 2008 Spectral Hashing NeurIPS 2008 Spike Feature Extraction Using Informative Samples NeurIPS 2008 Structural Learning of Chain Graphs via Decomposition JMLR 2008 The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction NeurIPS 2008