1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2023
LINFA: a Python library for variational inference with normalizing flow and annealing
Yu Wang, Emma R. Cobian, Jubilee Lee +3
Variational inference is an increasingly popular method in statistics and machine learning for approximating probability distributions. We developed LINFA (Library for Inference wi…
stat.ML2023★ 1 cited
Differentially Private Normalizing Flows for Density Estimation, Data Synthesis, and Variational Inference with Application to Electronic Health Records
Bingyue Su, Yu Wang, Daniele E. Schiavazzi +1
Electronic health records (EHR) often contain sensitive medical information about individual patients, posing significant limitations to sharing or releasing EHR data for downstrea…
cs.LG2022
Efficient Reinforcement Learning from Demonstration Using Local Ensemble and Reparameterization with Split and Merge of Expert Policies
Yu Wang, Fang Liu
The current work on reinforcement learning (RL) from demonstrations often assumes the demonstrations are samples from an optimal policy, an unrealistic assumption in practice. When…