Dennis Frauen

According to our database, Dennis Frauen authored at least 20 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning Representations of Instruments for Partial Identification of Treatment Effects.

Jonas Schweisthal, Dennis Frauen, Maresa Schröder, Konstantin Hess, Niki Kilbertus, Stefan Feuerriegel

CoRR, 2024

Causal machine learning for predicting treatment outcomes.

Stefan Feuerriegel, Dennis Frauen, Valentyn Melnychuk, Jonas Schweisthal, Konstantin Hess, Alicia Curth, Stefan Bauer, Niki Kilbertus, Isaac S. Kohane, Mihaela van der Schaar

CoRR, 2024

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

Dennis Frauen, Konstantin Hess, Stefan Feuerriegel

CoRR, 2024

Conformal Prediction for Causal Effects of Continuous Treatments.

Maresa Schröder, Dennis Frauen, Jonas Schweisthal, Konstantin Hess, Valentyn Melnychuk, Stefan Feuerriegel

CoRR, 2024

G-Transformer for Conditional Average Potential Outcome Estimation over Time.

Konstantin Hess, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel

CoRR, 2024

Causal Machine Learning for Cost-Effective Allocation of Development Aid.

Milan Kuzmanovic, Dennis Frauen, Tobias Hatt, Stefan Feuerriegel

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments.

Jonas Schweisthal, Dennis Frauen, Mihaela van der Schaar, Stefan Feuerriegel

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Fair Off-Policy Learning from Observational Data.

Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework.

Maresa Schröder, Dennis Frauen, Stefan Feuerriegel

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation.

Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation.

Konstantin Hess, Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Neural Framework for Generalized Causal Sensitivity Analysis.

Dennis Frauen, Fergus Imrie, Alicia Curth, Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Counterfactual Fairness for Predictions using Generative Adversarial Networks.

Yuchen Ma, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel

CoRR, 2023

Reliable Off-Policy Learning for Dosage Combinations.

Jonas Schweisthal, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model.

Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Sharp Bounds for Generalized Causal Sensitivity Analysis.

Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Normalizing Flows for Interventional Density Estimation.

Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel

Proceedings of the International Conference on Machine Learning, 2023

Estimating individual treatment effects under unobserved confounding using binary instruments.

Dennis Frauen, Stefan Feuerriegel

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Estimating Average Causal Effects from Patient Trajectories.

Dennis Frauen, Tobias Hatt, Valentyn Melnychuk, Stefan Feuerriegel

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Causal Transformer for Estimating Counterfactual Outcomes.

Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel

Proceedings of the International Conference on Machine Learning, 2022