Statistics

Generalized-ICP RSS 2009 Hierarchical Modeling of Local Image Features through L_p-Nested Symmetric Distributions NeurIPS 2009 Learning Nondeterministic Classifiers JMLR 2009 Robust Nonparametric Regression with Metric-Space Valued Output NeurIPS 2009 Strong Limit Theorems for the Bayesian Scoring Criterion in Bayesian Networks JMLR 2009 Submanifold density estimation NeurIPS 2009 White Functionals for Anomaly Detection in Dynamical Systems NeurIPS 2009 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 An Information Criterion for Variable Selection in Support Vector Machines JMLR 2008 Automatic PCA Dimension Selection for High Dimensional Data and Small Sample Sizes JMLR 2008 Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform NeurIPS 2008 Empirical performance maximization for linear rank statistics NeurIPS 2008 Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers JMLR 2008 Estimation of Information Theoretic Measures for Continuous Random Variables NeurIPS 2008 Forecasting Web Page Views: Methods and Observations JMLR 2008 Mixed Membership Stochastic Blockmodels 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 On Bootstrapping the ROC Curve NeurIPS 2008 Rademacher Complexity Bounds for Non-I.I.D. Processes NeurIPS 2008 Reducing statistical dependencies in natural signals using radial Gaussianization NeurIPS 2008 Theory of matching pursuit NeurIPS 2008 A Kernel Statistical Test of Independence NeurIPS 2007