7 papers accepted at ICLR 2026

We are thrilled to share that seven papers from our group have been accepted to International Conference on Learning Representations (ICLR) 2026! We look forward to presenting our work at this premier conference in April 2026 in Brazil.

Foundation Models for Causal Inference via Prior-Data Fitted Networks - Yuchen Ma, Dennis Frauen, Emil Javurek, Stefan Feuerriegel

An Orthogonal Learner for Individualized Outcomes in Markov Decision Processes- Emil Javurek, Valentyn Melnychuk, Jonas Schweisthal, Konstantin Hess, Dennis Frauen, Stefan Feuerriegel

Overlap-Adaptive Regularization for Conditional Average Treatment Effect Estimation - Valentyn Melnychuk, Dennis Frauen, Jonas Schweisthal, Stefan Feuerriegel

GDR-learners: Orthogonal Learning of Generative Models for Potential Outcomes - Valentyn Melnychuk, Stefan Feuerriegel

Overlap-weighted Orthogonal Meta-learner for Treatment Effect Estimation Over Time - Konstantin Hess, Dennis Frauen, Mihaela van der Schaar, Stefan Feuerriegel

Efficient and Sharp Off-Policy Learning under Unobserved Confounding- Konstantin Hess, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel

IGC-Net for Conditional Average Potential Outcome Estimation Over Time (formerly called "G-transformer") - Konstantin Hess, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel

Congratulations to everyone involved!