Konstantin Hess

Overlap-weighted orthogonal meta-learner for treatment effect estimation over time

Efficient and Sharp Off-Policy Learning under Unobserved Confounding

IGC-Net for conditional average potential outcome estimation over time

An Orthogonal Learner for Individualized Outcomes in Markov Decision Processes

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data

Model-agnostic meta-learners for estimating heterogeneous treatment effects over time

Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets

Stabilized Neural Prediction of Potential Outcomes in Continuous Time

Conformal Prediction for Causal Effects of Continuous Treatments

Conformal prediction for causal effects of continuous treatments

Learning Representations of Instruments for Partial Identification of Treatment Effects

G-Transformer for Conditional Average Potential Outcome Estimation over Time

Learning Representations of Instruments for Partial Identification of Treatment Effects