Frauen, Dennis

22 publications

NeurIPS 2025 Conformal Prediction for Causal Effects of Continuous Treatments Maresa Schröder, Dennis Frauen, Jonas Schweisthal, Konstantin Hess, Valentyn Melnychuk, Stefan Feuerriegel
ICLR 2025 Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets Yuxin Wang, Maresa Schröder, Dennis Frauen, Jonas Schweisthal, Konstantin Hess, Stefan Feuerriegel
NeurIPS 2025 Improving the Generation and Evaluation of Synthetic Data for Downstream Medical Causal Inference Harry Amad, Zhaozhi Qian, Dennis Frauen, Julianna Piskorz, Stefan Feuerriegel, Mihaela van der Schaar
NeurIPS 2025 LLM-Driven Treatment Effect Estimation Under Inference Time Text Confounding Yuchen Ma, Dennis Frauen, Jonas Schweisthal, Stefan Feuerriegel
ICML 2025 Learning Representations of Instruments for Partial Identification of Treatment Effects Jonas Schweisthal, Dennis Frauen, Maresa Schröder, Konstantin Hess, Niki Kilbertus, Stefan Feuerriegel
ICLRW 2025 Learning Representations of Instruments for Partial Identification of Treatment Effects Jonas Schweisthal, Dennis Frauen, Maresa Schröder, Konstantin Hess, Niki Kilbertus, Stefan Feuerriegel
ICLR 2025 Model-Agnostic Meta-Learners for Estimating Heterogeneous Treatment Effects over Time Dennis Frauen, Konstantin Hess, Stefan Feuerriegel
NeurIPS 2025 Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data Dennis Frauen, Maresa Schröder, Konstantin Hess, Stefan Feuerriegel
NeurIPS 2025 Treatment Effect Estimation for Optimal Decision-Making Dennis Frauen, Valentyn Melnychuk, Jonas Schweisthal, Mihaela van der Schaar, Stefan Feuerriegel
ICLR 2024 A Neural Framework for Generalized Causal Sensitivity Analysis Dennis Frauen, Fergus Imrie, Alicia Curth, Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar
ICLR 2024 Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation Konstantin Hess, Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
ICLR 2024 Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
ICLR 2024 Causal Fairness Under Unobserved Confounding: A Neural Sensitivity Framework Maresa Schröder, Dennis Frauen, Stefan Feuerriegel
ICML 2024 Fair Off-Policy Learning from Observational Data Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
ICML 2024 Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments Jonas Schweisthal, Dennis Frauen, Mihaela Van Der Schaar, Stefan Feuerriegel
AAAI 2023 Estimating Average Causal Effects from Patient Trajectories Dennis Frauen, Tobias Hatt, Valentyn Melnychuk, Stefan Feuerriegel
ICLR 2023 Estimating Individual Treatment Effects Under Unobserved Confounding Using Binary Instruments Dennis Frauen, Stefan Feuerriegel
ICML 2023 Normalizing Flows for Interventional Density Estimation Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
NeurIPS 2023 Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
NeurIPS 2023 Reliable Off-Policy Learning for Dosage Combinations Jonas Schweisthal, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
NeurIPS 2023 Sharp Bounds for Generalized Causal Sensitivity Analysis Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
ICML 2022 Causal Transformer for Estimating Counterfactual Outcomes Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel