nonparametric regression

Incremental Local Gaussian Regression NeurIPS 2014 Online Non-Parametric Regression COLT 2014 Adaptivity to Local Smoothness and Dimension in Kernel Regression NeurIPS 2013 Distribution-Free Distribution Regression AISTATS 2013 Multivariate Convex Regression with Adaptive Partitioning JMLR 2013 On the Mutual Nearest Neighbors Estimate in Regression JMLR 2013 Structure Discovery in Nonparametric Regression through Compositional Kernel Search ICML 2013 Gradient Weights help Nonparametric Regressors NeurIPS 2012 Nonparametric Reduced Rank Regression NeurIPS 2012 Dirichlet Process Mixtures of Generalized Linear Models JMLR 2011 k-NN Regression Adapts to Local Intrinsic Dimension NeurIPS 2011 Optimal aggregation of affine estimators COLT 2011 Tight conditions for consistent variable selection in high dimensional nonparametric regression COLT 2011 Dirichlet Process Mixtures of Generalized Linear Models AISTATS 2010 Multivariate Dyadic Regression Trees for Sparse Learning Problems NeurIPS 2010 Fast, smooth and adaptive regression in metric spaces NeurIPS 2009 Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness NeurIPS 2009 Nonparametric Greedy Algorithms for the Sparse Learning Problem NeurIPS 2009 Robust Nonparametric Regression with Metric-Space Valued Output NeurIPS 2009 Bayesian Kernel Shaping for Learning Control NeurIPS 2008 Local Gaussian Process Regression for Real Time Online Model Learning NeurIPS 2008 Nonparametric regression and classification with joint sparsity constraints NeurIPS 2008 Non-parametric Regression Between Manifolds NeurIPS 2008 SpAM: Sparse Additive Models NeurIPS 2007 Quantile Regression Forests JMLR 2006