18 citations · 23 across the 3 of their papers we have counts for
4 papers
A Density Ratio Super Learner
Wencheng Wu, David Benkeser
The estimation of the ratio of two density probability functions is of great interest in many statistics fields, including causal inference. In this study, we develop an ensemble e…
Neural Process for Black-Box Model Optimization Under Bayesian Framework
Zhongkai Shangguan, Lei Lin, Wencheng Wu +1
There are a large number of optimization problems in physical models where the relationships between model parameters and outputs are unknown or hard to track. These models are nam…
MCFlow: Monte Carlo Flow Models for Data Imputation
Trevor W. Richardson, Wencheng Wu, Lei Lin +2
We consider the topic of data imputation, a foundational task in machine learning that addresses issues with missing data. To that end, we propose MCFlow, a deep framework for impu…
Medical Time Series Classification with Hierarchical Attention-based Temporal Convolutional Networks: A Case Study of Myotonic Dystrophy Diagnosis
Lei Lin, Beilei Xu, Wencheng Wu +2
Myotonia, which refers to delayed muscle relaxation after contraction, is the main symptom of myotonic dystrophy patients. We propose a hierarchical attention-based temporal convol…