CausalPFN: Amortized Causal Effect Estimation via In-Context Learning

NeurIPSSpotlight2025

Authors
Vahid Balazadeh, Hamidreza Kamkari, Valentin Thomas, Junwei Ma, Bingru Li, Jesse C. Cresswell, Rahul Krishnan
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

Causal effect estimation from observational data is fundamental across various applications…

Opening excerpt from the authors’ abstract. source

Read the paper

Topics

in-context learning causal

← All NeurIPS 2025 Spotlight papers · Browse the whole archive