Minimax-optimal nonparametric regression in high dimensions

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Minimax-optimal nonparametric regression in high dimensions

28 January 2014

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Papers citing "Minimax-optimal nonparametric regression in high dimensions"

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Title
Deep Horseshoe Gaussian Processes Ismael Castillo Thibault Randrianarisoa BDL UQCV 108 5 0 04 Mar 2024
Estimating individual treatment effects under unobserved confounding using binary instruments Dennis Frauen Stefan Feuerriegel CML 91 20 0 17 Aug 2022
Deep Nonparametric Regression on Approximate Manifolds: Non-Asymptotic Error Bounds with Polynomial Prefactors Yuling Jiao Guohao Shen Yuanyuan Lin Jian Huang 123 52 0 14 Apr 2021
Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms Alicia Curth M. Schaar CML 183 149 0 26 Jan 2021
Estimation and Inference with Trees and Forests in High Dimensions Vasilis Syrgkanis Manolis Zampetakis 49 32 0 07 Jul 2020
Deep learning is adaptive to intrinsic dimensionality of model smoothness in anisotropic Besov space Taiji Suzuki Atsushi Nitanda 93 63 0 28 Oct 2019
Nonparametric Regression on Low-Dimensional Manifolds using Deep ReLU Networks : Function Approximation and Statistical Recovery Minshuo Chen Haoming Jiang Wenjing Liao T. Zhao 157 92 0 05 Aug 2019
Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models Zijian Guo Wei Yuan Cun-Hui Zhang 47 2 0 30 Jul 2019
Incremental Intervention Effects in Studies with Dropout and Many Timepoints Kwangho Kim Edward H. Kennedy A. Naimi 42 7 0 09 Jul 2019
A Bayesian Perspective of Statistical Machine Learning for Big Data R. Sambasivan Sourish Das S. Sahu BDL GP 61 20 0 09 Nov 2018
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning Ahmed Alaa M. Schaar 72 89 0 20 Feb 2018
Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms Ahmed Alaa Mihaela van der Schaar CML 73 43 0 24 Dec 2017
Converting High-Dimensional Regression to High-Dimensional Conditional Density Estimation Rafael Izbicki Ann B. Lee 195 78 0 26 Apr 2017
Bayesian model selection consistency and oracle inequality with intractable marginal likelihood Yun Yang D. Pati 84 20 0 02 Jan 2017
Fast Gaussian Process Regression for Big Data Sourish Das Sasanka Roy R. Sambasivan GP 113 48 0 17 Sep 2015
Kernel Meets Sieve: Post-Regularization Confidence Bands for Sparse Additive Model Junwei Lu Mladen Kolar Han Liu 107 23 0 10 Mar 2015
Adaptive Bayesian Estimation of Conditional Densities Andriy Norets D. Pati 111 36 0 22 Aug 2014