Regression

Variational Dependent Multi-output Gaussian Process Dynamical Systems JMLR 2016 Voice Conversion Based on Trajectory Model Training of Neural Networks Considering Global Variance Interspeech 2016 Vowel Characteristics in the Assessment of L2 English Pronunciation Interspeech 2016 Wavelet decompositions of Random Forests - smoothness analysis, sparse approximation and applications JMLR 2016 You Only Look Once: Unified, Real-Time Object Detection CVPR 2016 A Chaining Algorithm for Online Nonparametric Regression COLT 2015 Achieving All with No Parameters: AdaNormalHedge COLT 2015 Adaptive Recovery of Signals by Convex Optimization COLT 2015 Adaptive Strategy for Stratified Monte Carlo Sampling JMLR 2015 A Direct Estimation of High Dimensional Stationary Vector Autoregressions JMLR 2015 Adversarial Prediction Games for Multivariate Losses NeurIPS 2015 A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure NeurIPS 2015 A Greedy Homotopy Method for Regression with Nonconvex Constraints AISTATS 2015 A Groupwise Multilinear Correspondence Optimization for 3D Faces ICCV 2015 Algorithms for Lipschitz Learning on Graphs COLT 2015 Alternating Minimization for Regression Problems with Vector-valued Outputs NeurIPS 2015 Ambient Occlusion via Compressive Visibility Estimation CVPR 2015 A Multitask Point Process Predictive Model ICML 2015 A New Generalized Error Path Algorithm for Model Selection ICML 2015 A PTAS for Agnostically Learning Halfspaces COLT 2015 A Simple Homotopy Algorithm for Compressive Sensing AISTATS 2015 Attribute Efficient Linear Regression with Distribution-Dependent Sampling ICML 2015 A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with Stochastic Variational Inference for Big Data ICML 2015 Averaged Least-Mean-Squares: Bias-Variance Trade-offs and Optimal Sampling Distributions AISTATS 2015 Bayesian Nonparametric Covariance Regression JMLR 2015