Optimal Bayesian estimation in random covariate design with a rescaled
Gaussian process prior

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Optimal Bayesian estimation in random covariate design with a rescaled Gaussian process prior

26 November 2014

A. Bhattacharya

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Papers citing "Optimal Bayesian estimation in random covariate design with a rescaled Gaussian process prior"

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Title
Improving Random Forests by Smoothing Ziyi Liu Phuc Luong Mario Boley Daniel F. Schmidt UQCV 174 0 0 11 May 2025
Deep Horseshoe Gaussian Processes Ismael Castillo Thibault Randrianarisoa BDL UQCV 108 5 0 04 Mar 2024
Posterior Concentration for Gaussian Process Priors under Rescaled and Hierarchical Matérn and Confluent Hypergeometric Covariance Functions Xiao Fang A. Bhadra 42 0 0 12 Dec 2023
Variational Gaussian Processes For Linear Inverse Problems Thibault Randrianarisoa Botond Szabó 82 3 0 01 Nov 2023
Ideal Bayesian Spatial Adaptation Veronika Rockova Judith Rousseau 150 16 0 26 May 2021
Convergence of Gaussian process regression: Optimality, robustness, and relationship with kernel ridge regression Wei Cao Bing-Yi Jing 55 6 0 20 Apr 2021
Sample and Computationally Efficient Stochastic Kriging in High Dimensions Liang Ding Xiaowei Zhang 8 6 0 14 Oct 2020
Kriging prediction with isotropic Matérn correlations: Robustness and experimental design Rui Tuo Wei Cao 107 37 0 13 Nov 2019
Gaussian Processes with Errors in Variables: Theory and Computation Shuang Zhou D. Pati Tianying Wang Yun Yang R. Carroll 71 4 0 14 Oct 2019
On Statistical Optimality of Variational Bayes D. Pati A. Bhattacharya Yun Yang 64 64 0 25 Dec 2017
Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms Ahmed Alaa Mihaela van der Schaar CML 73 43 0 24 Dec 2017
A Theoretical Framework for Bayesian Nonparametric Regression Fangzheng Xie Wei Jin Yanxun Xu 52 2 0 15 Dec 2017
Posterior contraction in Gaussian process regression using Wasserstein approximations A. Bhattacharya D. Pati 69 0 0 09 Feb 2015