Mathematics

Matrix Completion from Power-Law Distributed Samples NeurIPS 2009 Neurometric function analysis of population codes NeurIPS 2009 Noise Characterization, Modeling, and Reduction for In Vivo Neural Recording NeurIPS 2009 Nonextensive Information Theoretic Kernels on Measures JMLR 2009 On Learning Rotations NeurIPS 2009 On the complexity of the set of three-finger caging grasps of convex polygons RSS 2009 Optimal context separation of spiking haptic signals by second-order somatosensory neurons NeurIPS 2009 Refinement of Reproducing Kernels JMLR 2009 Reproducing Kernel Banach Spaces for Machine Learning JMLR 2009 Riffled Independence for Ranked Data NeurIPS 2009 Robust Nonparametric Regression with Metric-Space Valued Output NeurIPS 2009 Sensitivity analysis in HMMs with application to likelihood maximization NeurIPS 2009 Streaming Pointwise Mutual Information NeurIPS 2009 Strong Limit Theorems for the Bayesian Scoring Criterion in Bayesian Networks JMLR 2009 Submanifold density estimation NeurIPS 2009 The Hidden Life of Latent Variables: Bayesian Learning with Mixed Graph Models JMLR 2009 The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs JMLR 2009 The Ordered Residual Kernel for Robust Motion Subspace Clustering NeurIPS 2009 Which graphical models are difficult to learn? NeurIPS 2009 White Functionals for Anomaly Detection in Dynamical Systems NeurIPS 2009 Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes NeurIPS 2008 Adaptive Template Matching with Shift-Invariant Semi-NMF NeurIPS 2008 A general framework for investigating how far the decoding process in the brain can be simplified NeurIPS 2008 An Extension on “Statistical Comparisons of Classifiers over Multiple Data Sets” for all Pairwise Comparisons JMLR 2008 An improved estimator of Variance Explained in the presence of noise NeurIPS 2008