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most citedVariational Inference with NoFAS: Normalizing Flow with Adaptive Surrogate for Computationally Expensive Models

17 citations · 18 across the 8 of their papers we have counts for

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2 papers · 1 filter

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…