nonparametric regression

Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information ICML 2018 Outlier Detection and Robust Estimation in Nonparametric Regression AISTATS 2018 Wavelet regression and additive models for irregularly spaced data NeurIPS 2018 Wrapped Gaussian Process Regression on Riemannian Manifolds CVPR 2018 Additive Component Analysis CVPR 2017 Group Additive Structure Identification for Kernel Nonparametric Regression NeurIPS 2017 Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression JMLR 2017 Kernel Partial Least Squares for Stationary Data JMLR 2017 Nonparametric Online Regression while Learning the Metric NeurIPS 2017 Additive Approximations in High Dimensional Nonparametric Regression via the SALSA ICML 2016 Automatic Construction of Nonparametric Relational Regression Models for Multiple Time Series ICML 2016 Blind Regression: Nonparametric Regression for Latent Variable Models via Collaborative Filtering NeurIPS 2016 Compressed Gaussian Process for Manifold Regression JMLR 2016 Doubly Decomposing Nonparametric Tensor Regression ICML 2016 Optimal Estimation of Derivatives in Nonparametric Regression JMLR 2016 Supervised Neighborhoods for Distributed Nonparametric Regression AISTATS 2016 Trend Filtering on Graphs JMLR 2016 A Chaining Algorithm for Online Nonparametric Regression COLT 2015 Derivative Estimation Based on Difference Sequence via Locally Weighted Least Squares Regression JMLR 2015 Fast Function to Function Regression AISTATS 2015 Near-optimal max-affine estimators for convex regression AISTATS 2015 A Non-parametric Conditional Factor Regression Model for Multi-Dimensional Input and Response AISTATS 2014 Early Stopping and Non-parametric Regression: An Optimal Data-dependent Stopping Rule JMLR 2014 Fast Allocation of Gaussian Process Experts ICML 2014 Fast Distribution To Real Regression AISTATS 2014