Statistical Learning

CorrLog: Correlated Logistic Models for Joint Prediction of Multiple Labels AISTATS 2012 Density-Difference Estimation NeurIPS 2012 Dimensionality Dependent PAC-Bayes Margin Bound NeurIPS 2012 Domain Adaptation: A Small Sample Statistical Approach AISTATS 2012 Ensemble weighted kernel estimators for multivariate entropy estimation NeurIPS 2012 Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space AISTATS 2012 Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling NeurIPS 2012 Finding Recurrent Patterns from Continuous Sign Language Sentences for Automated Extraction of Signs JMLR 2012 Finite-Sample Analysis of Least-Squares Policy Iteration JMLR 2012 Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins NeurIPS 2012 Graphical Models via Generalized Linear Models NeurIPS 2012 How Prior Probability Influences Decision Making: A Unifying Probabilistic Model NeurIPS 2012 How They Vote: Issue-Adjusted Models of Legislative Behavior NeurIPS 2012 Identifiability and Unmixing of Latent Parse Trees NeurIPS 2012 Iterative ranking from pair-wise comparisons NeurIPS 2012 Joint Estimation of Structured Sparsity and Output Structure in Multiple-Output Regression via Inverse-Covariance Regularization AISTATS 2012 Kernel Hyperalignment NeurIPS 2012 L1 Covering Numbers for Uniformly Bounded Convex Functions COLT 2012 Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs NeurIPS 2012 Learning from Distributions via Support Measure Machines NeurIPS 2012 Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data NeurIPS 2012 Learning Mixtures of Tree Graphical Models NeurIPS 2012 Learning Probability Measures with respect to Optimal Transport Metrics NeurIPS 2012 Locating Changes in Highly Dependent Data with Unknown Number of Change Points NeurIPS 2012 Marginal Regression For Multitask Learning AISTATS 2012