nonparametric regression

Data-driven confidence bands for distributed nonparametric regression COLT 2020 Minimax Estimation of Conditional Moment Models NeurIPS 2020 Non-asymptotic Analysis for Nonparametric Testing COLT 2020 Nonparametric Motion Retargeting for Humanoid Robots on Shared Latent Space RSS 2020 Nonparametric Score Estimators ICML 2020 On Semi-parametric Inference for BART ICML 2020 Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information JMLR 2020 Sparse Shrunk Additive Models ICML 2020 Tight Nonparametric Convergence Rates for Stochastic Gradient Descent under the Noiseless Linear Model NeurIPS 2020 Does data interpolation contradict statistical optimality? AISTATS 2019 Incorporating Grouping Information into Bayesian Decision Tree Ensembles ICML 2019 Kernel Instrumental Variable Regression NeurIPS 2019 Kernel Truncated Randomized Ridge Regression: Optimal Rates and Low Noise Acceleration NeurIPS 2019 Layer-Wise Learning Strategy for Nonparametric Tensor Product Smoothing Spline Regression and Graphical Models JMLR 2019 Multivariate Distributionally Robust Convex Regression under Absolute Error Loss NeurIPS 2019 Nonparametric Bayesian Aggregation for Massive Data JMLR 2019 Nonparametric Contextual Bandits in Metric Spaces with Unknown Metric NeurIPS 2019 On Medians of (Randomized) Pairwise Means ICML 2019 Optimal Statistical Rates for Decentralised Non-Parametric Regression with Linear Speed-Up NeurIPS 2019 Parsimonious Online Learning with Kernels via Sparse Projections in Function Space JMLR 2019 Robust Estimation of Derivatives Using Locally Weighted Least Absolute Deviation Regression JMLR 2019 Active Learning for Non-Parametric Regression Using Purely Random Trees NeurIPS 2018 Distributed Nonparametric Regression under Communication Constraints ICML 2018 Extrapolating Expected Accuracies for Large Multi-Class Problems JMLR 2018 Kernel Conditional Exponential Family AISTATS 2018