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Dennis Frauen
Dennis Frauen
PhD student, LMU Munich
Verified email at lmu.de - Homepage
Title
Cited by
Cited by
Year
Causal Transformer for Estimating Counterfactual Outcomes
V Melnychuk, D Frauen, S Feuerriegel
International Conference on Machine Learning (ICML), 162, 15293-15329, 2022
1042022
Causal machine learning for predicting treatment outcomes
S Feuerriegel, D Frauen, V Melnychuk, J Schweisthal, K Hess, A Curth, ...
Nature Medicine 30 (4), 958-968, 2024
842024
Estimating individual treatment effects under unobserved confounding using binary instruments
D Frauen, S Feuerriegel
International Conference on Learning Representations (ICLR), 2023
272023
Estimating average causal effects from patient trajectories
D Frauen, T Hatt, V Melnychuk, S Feuerriegel
AAAI Conference on Artificial Intelligence 37 (6), 7586-7594, 2023
232023
Normalizing Flows for Interventional Density Estimation
V Melnychuk, D Frauen, S Feuerriegel
International Conference on Machine Learning (ICML), 2023
192023
Bayesian neural controlled differential equations for treatment effect estimation
K Hess, V Melnychuk, D Frauen, S Feuerriegel
International Conference on Learning Representations (ICLR), 2024
142024
Sharp Bounds for Generalized Causal Sensitivity Analysis
D Frauen, V Melnychuk, S Feuerriegel
Advances in Neural Information Processing Systems (NeurIPS), 2023
142023
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation
V Melnychuk, D Frauen, S Feuerriegel
International Conference on Learning Representations (ICLR), 2024
102024
A Neural Framework for Generalized Causal Sensitivity Analysis
D Frauen, F Imrie, A Curth, V Melnychuk, S Feuerriegel, M van der Schaar
International Conference on Learning Representations (ICLR), 2024
92024
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model
V Melnychuk, D Frauen, S Feuerriegel
Advances in Neural Information Processing Systems (NeurIPS), 2023
82023
Reliable Off-Policy Learning for Dosage Combinations
J Schweisthal, D Frauen, V Melnychuk, S Feuerriegel
Advances in Neural Information Processing Systems (NeurIPS), 2023
82023
Fair Off-Policy Learning from Observational Data
D Frauen, V Melnychuk, S Feuerriegel
International Conference on Machine Learning (ICML), 2024
62024
Causal Machine Learning for Cost-Effective Allocation of Development Aid
M Kuzmanovic, D Frauen, T Hatt, S Feuerriegel
KDD, 2024
52024
Conformal prediction for causal effects of continuous treatments
M Schröder, D Frauen, J Schweisthal, K Heß, V Melnychuk, S Feuerriegel
arXiv preprint arXiv:2407.03094, 2024
42024
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time
D Frauen, K Hess, S Feuerriegel
International Conference on Learning Representations (ICLR), 2025
32025
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework
M Schröder, D Frauen, S Feuerriegel
International Conference on Learning Representations (ICLR), 2024
32024
G-Transformer for Conditional Average Potential Outcome Estimation over Time
K Hess, D Frauen, V Melnychuk, S Feuerriegel
arXiv preprint arXiv:2405.21012, 2024
22024
Counterfactual Fairness for Predictions using Generative Adversarial Networks
Y Ma, D Frauen, V Melnychuk, S Feuerriegel
arXiv preprint arXiv:2310.17687, 2023
22023
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments
J Schweisthal*, D Frauen*, M van der Schaar, S Feuerriegel
International Conference on Machine Learning (ICML), 2024
12024
Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets
Y Wang, M Schröder, D Frauen, J Schweisthal, K Hess, S Feuerriegel
International Conference on Learning Representations (ICLR), 2025
2025
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