Feuerriegel, Stefan

37 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
ICLR 2025 Differentially Private Learners for Heterogeneous Treatment Effects Maresa Schröder, Valentyn Melnychuk, 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 Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing Yilmazcan Ozyurt, Tunaberk Almaci, Stefan Feuerriegel, Mrinmaya Sachan
ICLR 2025 Stabilized Neural Prediction of Potential Outcomes in Continuous Time 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
TMLR 2024 A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions Daniel Tschernutter, Mathias Kraus, 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
CHIL 2024 Data-Driven Subgrouping of Patient Trajectories with Chronic Diseases: Evidence from Low Back Pain Christof Friedrich Naumzik, Alice Kongsted, Werner Vach, Stefan Feuerriegel
NeurIPS 2024 DiffPO: A Causal Diffusion Model for Learning Distributions of Potential Outcomes Yuchen Ma, Valentyn Melnychuk, Jonas Schweisthal, 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
NeurIPS 2024 Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar
CLeaR 2024 Sequential Deconfounding for Causal Inference with Unobserved Confounders Tobias Hatt, Stefan Feuerriegel
ICLR 2023 Contrastive Learning for Unsupervised Domain Adaptation of Time Series Yilmazcan Ozyurt, Stefan Feuerriegel, Ce Zhang
AAAI 2023 Estimating Average Causal Effects from Patient Trajectories Dennis Frauen, Tobias Hatt, Valentyn Melnychuk, Stefan Feuerriegel
AISTATS 2023 Estimating Conditional Average Treatment Effects with Missing Treatment Information Milan Kuzmanovic, Tobias Hatt, 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
UAI 2022 Generalizing Off-Policy Learning Under Sample Selection Bias Tobias Hatt, Daniel Tschernutter, Stefan Feuerriegel
ICML 2022 Interpretable Off-Policy Learning via Hyperbox Search Daniel Tschernutter, Tobias Hatt, Stefan Feuerriegel
MLHC 2022 Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine Theresa Blumlein, Joel Persson, Stefan Feuerriegel
AAAI 2021 DocParser: Hierarchical Document Structure Parsing from Renderings Johannes Rausch, Octavio Martinez, Fabian Bissig, Ce Zhang, Stefan Feuerriegel
AAAI 2020 Sample Complexity Bounds for RNNs with Application to Combinatorial Graph Problems (Student Abstract) Nil-Jana Akpinar, Bernhard Kratzwald, Stefan Feuerriegel