17 citations · 95 across the 19 of their papers we have counts for
19 papers
Beyond Tweedie's Formula: Conditional Score Modeling for Empirical Bayes Inference
Shonosuke Sugasawa, Zhigen Zhao
We propose conditional f-modeling (Cf-modeling), a framework for empirical Bayes inference with covariates. A central identity shows that the conditional marginal score function de…
Nonparametric f-Modeling for Empirical Bayes Inference with Unequal and Unknown Variances
Zhigen Zhao, Shonosuke Sugaasawa
Empirical Bayes methods are widely used for large-scale inference, yet most classical approaches assume homoscedastic observations and focus primarily on posterior mean estimation.…
On the testing of multiple hypothesis in sliced inverse regression
Zhigen Zhao, Xin Xing
We consider the multiple testing of the general regression framework aiming at studying the relationship between a univariate response and a p-dimensional predictor. To test the hy…
Adversarially Regularized Policy Learning Guided by Trajectory Optimization
Zhigen Zhao, Simiao Zuo, Tuo Zhao +1
Recent advancement in combining trajectory optimization with function approximation (especially neural networks) shows promise in learning complex control policies for diverse task…
BEAUTY Powered BEAST
Kai Zhang, Wan Zhang, Zhigen Zhao +1
We study distribution-free goodness-of-fit tests with the proposed Binary Expansion Approximation of UniformiTY (BEAUTY) approach. This method generalizes the renowned Euler's form…
SyDeBO: Symbolic-Decision-Embedded Bilevel Optimization for Long-Horizon Manipulation in Dynamic Environments
Zhigen Zhao, Ziyi Zhou, Michael Park +1
This study proposes a Task and Motion Planning (TAMP) method with symbolic decisions embedded in a bilevel optimization. This TAMP method exploits the discrete structure of sequent…
Morphological Reconstruction Improves Microvessel Mapping in Super-Resolution Ultrasound
Scott Schoen, Zhigen Zhao, Ashley Alva +3
Generation of super-resolution (SR) ultrasound (US) images, created from the successive local-ization of individual microbubbles in the circulation, has enabled the visualization o…
Controlling False Discovery Rate Using Gaussian Mirrors
Xin Xing, Zhigen Zhao, Jun S. Liu
Simultaneously finding multiple influential variables and controlling the false discovery rate (FDR) for linear regression models is a fundamental problem. We here propose the Gaus…
Where to find needles in a haystack?
Zhigen Zhao
In many existing methods in multiple comparison, one starts with either Fisher's p-values or the local fdr scores. The former one, with a usual definition as the tail probability e…
On F-Modelling based Empirical Bayes Estimation of Variances
Yeil Kwon, Zhigen Zhao
We consider the problem of empirical Bayes estimation of multiple variances when provided with sample variances. Assuming an arbitrary prior on the variances, we derive different v…
Global testing under the sparse alternatives for single index models
Qian Lin, Zhigen Zhao, Jun S. Liu
For the single index model with Gaussian design, %satisfying that rank where is unknown and is a sparse -dimensional unit vect…
Local False Discovery Rate Based Methods for Multiple Testing of One-Way Classified Hypotheses
Sanat K. Sarkar, Zhigen Zhao
This paper continues the line of research initiated in Liu et. al. (2016) on developing a novel framework for multiple testing of hypotheses grouped in a one-way classified form us…
Sparse Sliced Inverse Regression Via Lasso
Qian Lin, Zhigen Zhao, Jun S. Liu
For multiple index models, it has recently been shown that the sliced inverse regression (SIR) is consistent for estimating the sufficient dimension reduction (SDR) space if and on…
On consistency and sparsity for sliced inverse regression in high dimensions
Qian Lin, Zhigen Zhao, Jun S. Liu
We provide here a framework to analyze the phase transition phenomenon of slice inverse regression (SIR), a supervised dimension reduction technique introduced by \cite{Li:1991}. U…
Applying multiple testing procedures to detect change in East African vegetation
Nicolle Clements, Sanat K. Sarkar, Zhigen Zhao +1
The study of vegetation fluctuations gives valuable information toward effective land use and development. We consider this problem for the East African region based on the Normali…
Rate optimal multiple testing procedure in high-dimensional regression
Pengsheng Ji, Zhigen Zhao
In the high dimensional regression analysis when the number of predictors is much larger than the sample size, an important question is to select the important variable which are r…
Capturing the Severity of Type II Errors in High-Dimensional Multiple Testing
Li He, Sanat K. Sarkar, Zhigen Zhao
The severity of type II errors is frequently ignored when deriving a multiple testing procedure, even though utilizing it properly can greatly help in making correct decisions. Thi…
An empirical Bayes testing procedure for detecting variants in analysis of next generation sequencing data
Zhigen Zhao, Wei Wang, Zhi Wei
Because of the decreasing cost and high digital resolution, next-generation sequencing (NGS) is expected to replace the traditional hybridization-based microarray technology. For g…
Decision Approach and Empirical Bayes FCR-Controlling Interval for Mixed Prior Model
Zhigen Zhao
In this paper, I apply the decision theory and empirical Bayesian approach to construct confidence intervals for selected populations when true parameters follow a mixture prior di…