Search Results for author: Rui Tuo

Found 8 papers, 1 papers with code

The temporal overfitting problem with applications in wind power curve modeling

no code implementations2 Dec 2020 Abhinav Prakash, Rui Tuo, Yu Ding

This paper is concerned with a nonparametric regression problem in which the independence assumption of the input variables and the residuals is not valid.

Model Selection

Overcoming the Curse of Dimensionality in Density Estimation with Mixed Sobolev GANs

no code implementations5 Jun 2020 Liang Ding, Rui Tuo, Shahin Shahrampour

We propose a novel GAN framework for non-parametric density estimation with high-dimensional data.

Density Estimation

Projection Pursuit Gaussian Process Regression

no code implementations1 Apr 2020 Gecheng Chen, Rui Tuo

Traditional isotropic Gaussian process models suffer from the curse of dimensionality, when the input dimension is high.

Gaussian process aided function comparison using noisy scattered data

1 code implementation17 Mar 2020 Abhinav Prakash, Rui Tuo, Yu Ding

This work proposes a new nonparametric method to compare the underlying mean functions given by two noisy datasets.

Methodology Applications

Uncertainty Quantification for Bayesian Optimization

no code implementations4 Feb 2020 Rui Tuo, Wenjia Wang

Although the outputs of Bayesian optimization are random according to the Gaussian process assumption, quantification of this uncertainty is rarely studied in the literature.

Global Optimization

Differentially Private Change-Point Detection

no code implementations NeurIPS 2018 Rachel Cummings, Sara Krehbiel, Yajun Mei, Rui Tuo, Wanrong Zhang

The change-point detection problem seeks to identify distributional changes at an unknown change-point k* in a stream of data.

Change Point Detection Fault Detection

Cannot find the paper you are looking for? You can Submit a new open access paper.