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cs.AI2023
Estimating Uncertainty in Multimodal Foundation Models using Public Internet Data
Shiladitya Dutta, Hongbo Wei, Lars van der Laan +1
Foundation models are trained on vast amounts of data at scale using self-supervised learning, enabling adaptation to a wide range of downstream tasks. At test time, these models e…
cs.LG2023★ 2 cited
Conformal Meta-learners for Predictive Inference of Individual Treatment Effects
Ahmed Alaa, Zaid Ahmad, Mark van der Laan
We investigate the problem of machine learning-based (ML) predictive inference on individual treatment effects (ITEs). Previous work has focused primarily on developing ML-based me…