3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 1 cited
Transfer Knowledge from Head to Tail: Uncertainty Calibration under Long-tailed Distribution
Jiahao Chen, Bing Su
How to estimate the uncertainty of a given model is a crucial problem. Current calibration techniques treat different classes equally and thus implicitly assume that the distributi…
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…
stat.ME2019★ 3 cited
Data transforming augmentation for heteroscedastic models
Hyungsuk Tak, Kisung You, Sujit K. Ghosh +2
Data augmentation (DA) turns seemingly intractable computational problems into simple ones by augmenting latent missing data. In addition to computational simplicity, it is now wel…