41 citations · 46 across the 9 of their papers we have counts for
9 papers
Bayesian Region Selection and Prediction in Poisson Regression with Spatially Dependent Global-Local Shrinkage Prior
Zihan Zhu, Xueying Tang, Shuang Zhou
High-dimensional spatially correlated covariates are common in regression models encountered in environmental sciences and other fields. In such models, the regression coefficients…
Deep Q-Exponential Processes
Zhi Chang, Chukwudi Obite, Shuang Zhou +1
Motivated by deep neural networks, the deep Gaussian process (DGP) generalizes the standard GP by stacking multiple layers of GPs. Despite the enhanced expressiveness, GP, as an $L…
SC-VAE: Sparse Coding-based Variational Autoencoder with Learned ISTA
Pan Xiao, Peijie Qiu, Sungmin Ha +3
Learning rich data representations from unlabeled data is a key challenge towards applying deep learning algorithms in downstream tasks. Several variants of variational autoencoder…
Statistical Guarantees for Transformation Based Models with Applications to Implicit Variational Inference
Sean Plummer, Shuang Zhou, Anirban Bhattacharya +2
Transformation-based methods have been an attractive approach in non-parametric inference for problems such as unconditional and conditional density estimation due to their unique…
Mass-shifting phenomenon of truncated multivariate normal priors
Shuang Zhou, Pallavi Ray, Debdeep Pati +1
We show that lower-dimensional marginal densities of dependent zero-mean normal distributions truncated to the positive orthant exhibit a mass-shifting phenomenon. Despite the trun…
Gaussian Processes with Errors in Variables: Theory and Computation
Shuang Zhou, Debdeep Pati, Tianying Wang +2
Covariate measurement error in nonparametric regression is a common problem in nutritional epidemiology and geostatistics, and other fields. Over the last two decades, this problem…
Revisiting the proton-radius problem using constrained Gaussian processes
Shuang Zhou, P. Giuliani, J. Piekarewicz +2
Background: The "proton radius puzzle" refers to an eight-year old problem that highlights major inconsistencies in the extraction of the charge radius of the proton from muonic La…
A New Nonparametric Estimate of the Risk-Neutral Density with Applications to Variance Swaps
Liyuan Jiang, Shuang Zhou, Keren Li +2
We develop a new nonparametric approach for estimating the risk-neutral density of asset prices and reformulate its estimation into a double-constrained optimization problem. We ev…
Adaptive posterior convergence rates in non-linear latent variable models
Shuang Zhou, Debdeep Pati, Anirban Bhattacharya +1
Non-linear latent variable models have become increasingly popular in a variety of applications. However, there has been little study on theoretical properties of these models. In…