Dennis Frauen

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

Foundation Models for Causal Inference via Prior-Data Fitted Networks

Overlap-Adaptive Regularization for Conditional Average Treatment Effect Estimation

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

Assumption-lean inference on treatment effect distributions

DeepBlip: Estimating Conditional Average Treatment Effects Over Time

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

Improving the Generation and Evaluation of Synthetic Data for Downstream Medical Causal Inference

Treatment Effect Estimation for Optimal Decision-Making

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

LLM-Driven Treatment Effect Estimation Under Inference Time Text Confounding

Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets

Generation and Evaluation of Synthetic Data Containing Treatments

Conformal Prediction for Causal Effects of Continuous Treatments

Orthogonal Representation Learning for Estimating Causal Quantities

Learning Representations of Instruments for Partial Identification of Treatment Effects

Conformal prediction for causal effects of continuous treatments

G-Transformer for Conditional Average Potential Outcome Estimation over Time

Learning Representations of Instruments for Partial Identification of Treatment Effects

Counterfactual fairness prediction: Consistent estimation with generative models and theoretical guarantees