6 citations · 6 across the 3 of their papers we have counts for
3 papers
stat.ML2025
PAC-Causal Learnability: From Identification to Finite-Sample Guarantees
Mian Wei, Somesh Jha, David Page
Causal identification asks whether a causal target can be recovered from the observational distribution in an idealized infinite-data setting. In practice, only finite samples are…
cs.CL2024★ 6 cited
MALADE: Orchestration of LLM-powered Agents with Retrieval Augmented Generation for Pharmacovigilance
Jihye Choi, Nils Palumbo, Prasad Chalasani +4
In the era of Large Language Models (LLMs), given their remarkable text understanding and generation abilities, there is an unprecedented opportunity to develop new, LLM-based meth…
cs.LG2023
Differentially Private Multi-Site Treatment Effect Estimation
Tatsuki Koga, Kamalika Chaudhuri, David Page
Patient privacy is a major barrier to healthcare AI. For confidentiality reasons, most patient data remains in silo in separate hospitals, preventing the design of data-driven heal…