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Dennis Frauen
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2020 – today
- 2024
- [c14]Dennis Frauen, Fergus Imrie, Alicia Curth, Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar:
A Neural Framework for Generalized Causal Sensitivity Analysis. ICLR 2024 - [c13]Konstantin Hess, Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel:
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation. ICLR 2024 - [c12]Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel:
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation. ICLR 2024 - [c11]Maresa Schröder, Dennis Frauen, Stefan Feuerriegel:
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework. ICLR 2024 - [c10]Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel:
Fair Off-Policy Learning from Observational Data. ICML 2024 - [c9]Jonas Schweisthal, Dennis Frauen, Mihaela van der Schaar, Stefan Feuerriegel:
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments. ICML 2024 - [c8]Milan Kuzmanovic, Dennis Frauen, Tobias Hatt, Stefan Feuerriegel:
Causal Machine Learning for Cost-Effective Allocation of Development Aid. KDD 2024: 5283-5294 - [i18]Milan Kuzmanovic, Dennis Frauen, Tobias Hatt, Stefan Feuerriegel:
Causal Machine Learning for Cost-Effective Allocation of Development Aid. CoRR abs/2401.16986 (2024) - [i17]Konstantin Hess, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel:
G-Transformer for Conditional Average Potential Outcome Estimation over Time. CoRR abs/2405.21012 (2024) - [i16]Jonas Schweisthal, Dennis Frauen, Mihaela van der Schaar, Stefan Feuerriegel:
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments. CoRR abs/2406.02464 (2024) - [i15]Maresa Schröder, Dennis Frauen, Jonas Schweisthal, Konstantin Hess, Valentyn Melnychuk, Stefan Feuerriegel:
Conformal Prediction for Causal Effects of Continuous Treatments. CoRR abs/2407.03094 (2024) - [i14]Dennis Frauen, Konstantin Hess, Stefan Feuerriegel:
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time. CoRR abs/2407.05287 (2024) - 2023
- [c7]Dennis Frauen, Tobias Hatt, Valentyn Melnychuk, Stefan Feuerriegel:
Estimating Average Causal Effects from Patient Trajectories. AAAI 2023: 7586-7594 - [c6]Dennis Frauen, Stefan Feuerriegel:
Estimating individual treatment effects under unobserved confounding using binary instruments. ICLR 2023 - [c5]Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel:
Normalizing Flows for Interventional Density Estimation. ICML 2023: 24361-24397 - [c4]Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel:
Sharp Bounds for Generalized Causal Sensitivity Analysis. NeurIPS 2023 - [c3]Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel:
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model. NeurIPS 2023 - [c2]Jonas Schweisthal, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel:
Reliable Off-Policy Learning for Dosage Combinations. NeurIPS 2023 - [i13]Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel:
Fair Off-Policy Learning from Observational Data. CoRR abs/2303.08516 (2023) - [i12]Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel:
Sharp Bounds for Generalized Causal Sensitivity Analysis. CoRR abs/2305.16988 (2023) - [i11]Jonas Schweisthal, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel:
Reliable Off-Policy Learning for Dosage Combinations. CoRR abs/2305.19742 (2023) - [i10]Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel:
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model. CoRR abs/2306.01424 (2023) - [i9]Konstantin Hess, Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel:
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation. CoRR abs/2310.17463 (2023) - [i8]Yuchen Ma, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel:
Counterfactual Fairness for Predictions using Generative Adversarial Networks. CoRR abs/2310.17687 (2023) - [i7]Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel:
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation. CoRR abs/2311.11321 (2023) - [i6]Dennis Frauen, Fergus Imrie, Alicia Curth, Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar:
A Neural Framework for Generalized Causal Sensitivity Analysis. CoRR abs/2311.16026 (2023) - [i5]Maresa Schröder, Dennis Frauen, Stefan Feuerriegel:
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework. CoRR abs/2311.18460 (2023) - 2022
- [c1]Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel:
Causal Transformer for Estimating Counterfactual Outcomes. ICML 2022: 15293-15329 - [i4]Dennis Frauen, Tobias Hatt, Valentyn Melnychuk, Stefan Feuerriegel:
Estimating average causal effects from patient trajectories. CoRR abs/2203.01228 (2022) - [i3]Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel:
Causal Transformer for Estimating Counterfactual Outcomes. CoRR abs/2204.07258 (2022) - [i2]Dennis Frauen, Stefan Feuerriegel:
Estimating individual treatment effects under unobserved confounding using binary instruments. CoRR abs/2208.08544 (2022) - [i1]Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel:
Normalizing Flows for Interventional Density Estimation. CoRR abs/2209.06203 (2022)
Coauthor Index
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last updated on 2024-09-10 01:12 CEST by the dblp team
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