Regression

Multiple Output Regression with Latent Noise JMLR 2016 Multitask Principal Component Analysis ACML 2016 Multi-task Sparse Structure Learning with Gaussian Copula Models JMLR 2016 Multivariate Spearman's ρ for Aggregating Ranks Using Copulas JMLR 2016 New Perspectives on k-Support and Cluster Norms JMLR 2016 Nonlinear Statistical Learning with Truncated Gaussian Graphical Models ICML 2016 Non-Stationary Gaussian Process Regression with Hamiltonian Monte Carlo AISTATS 2016 No penalty no tears: Least squares in high-dimensional linear models ICML 2016 NYTRO: When Subsampling Meets Early Stopping AISTATS 2016 Objective Evaluation Methods for Chinese Text-To-Speech Systems Interspeech 2016 Objective Evaluation Using Association Between Dimensions Within Spectral Features for Statistical Parametric Speech Synthesis Interspeech 2016 One Scan 1-Bit Compressed Sensing AISTATS 2016 On Graph Reconstruction via Empirical Risk Minimization: Fast Learning Rates and Scalability NeurIPS 2016 Online Sparse Linear Regression COLT 2016 On Quantile Regression in Reproducing Kernel Hilbert Spaces with the Data Sparsity Constraint JMLR 2016 On Smoothing and Enhancing Dynamics of Pitch Contours Represented by Discrete Orthogonal Polynomials for Prosody Generation Interspeech 2016 Operator-valued Kernels for Learning from Functional Response Data JMLR 2016 Optimal Black-Box Reductions Between Optimization Objectives NeurIPS 2016 Optimal Estimation of Derivatives in Nonparametric Regression JMLR 2016 Optimal rates for total variation denoising COLT 2016 Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering CVPR 2016 Ordered Weighted L1 Regularized Regression with Strongly Correlated Covariates: Theoretical Aspects AISTATS 2016 Ordinal Regression With Multiple Output CNN for Age Estimation CVPR 2016 Parallel Majorization Minimization with Dynamically Restricted Domains for Nonconvex Optimization AISTATS 2016 Parameter Estimation for Generalized Thurstone Choice Models ICML 2016