Dennis Frauen

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 30

Top Topics

Density Estimators

Machine Learning

Sensitivity Analysis

Top Venues

Publications

Dennis Frauen, Fergus Imrie, Alicia Curth, Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar
A Neural Framework for Generalized Causal Sensitivity Analysis. ICLR (2024)
Dennis Frauen, Konstantin Hess, Stefan Feuerriegel
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time. CoRR (2024)
Konstantin Hess, Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation. ICLR (2024)
Maresa Schröder, Dennis Frauen, Stefan Feuerriegel
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework. ICLR (2024)
Konstantin Hess, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
G-Transformer for Conditional Average Potential Outcome Estimation over Time. CoRR (2024)
Milan Kuzmanovic, Dennis Frauen, Tobias Hatt, Stefan Feuerriegel
Causal Machine Learning for Cost-Effective Allocation of Development Aid. KDD (2024)
Milan Kuzmanovic, Dennis Frauen, Tobias Hatt, Stefan Feuerriegel
Causal Machine Learning for Cost-Effective Allocation of Development Aid. CoRR (2024)
Jonas Schweisthal, Dennis Frauen, Mihaela van der Schaar, Stefan Feuerriegel
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments. CoRR (2024)
Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation. ICLR (2024)
Maresa Schröder, Dennis Frauen, Jonas Schweisthal, Konstantin Hess, Valentyn Melnychuk, Stefan Feuerriegel
Conformal Prediction for Causal Effects of Continuous Treatments. CoRR (2024)
Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model. CoRR (2023)
Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model. NeurIPS (2023)
Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
Sharp Bounds for Generalized Causal Sensitivity Analysis. NeurIPS (2023)
Konstantin Hess, Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation. CoRR (2023)
Jonas Schweisthal, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
Reliable Off-Policy Learning for Dosage Combinations. CoRR (2023)
Yuchen Ma, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
Counterfactual Fairness for Predictions using Generative Adversarial Networks. CoRR (2023)
Jonas Schweisthal, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
Reliable Off-Policy Learning for Dosage Combinations. NeurIPS (2023)
Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
Sharp Bounds for Generalized Causal Sensitivity Analysis. CoRR (2023)
Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
Fair Off-Policy Learning from Observational Data. CoRR (2023)
Dennis Frauen, Tobias Hatt, Valentyn Melnychuk, Stefan Feuerriegel
Estimating Average Causal Effects from Patient Trajectories. AAAI (2023)
Dennis Frauen, Stefan Feuerriegel
Estimating individual treatment effects under unobserved confounding using binary instruments. ICLR (2023)
Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
Normalizing Flows for Interventional Density Estimation. ICML (2023)
Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation. CoRR (2023)
Dennis Frauen, Fergus Imrie, Alicia Curth, Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar
A Neural Framework for Generalized Causal Sensitivity Analysis. CoRR (2023)
Maresa Schröder, Dennis Frauen, Stefan Feuerriegel
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework. CoRR (2023)
Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
Causal Transformer for Estimating Counterfactual Outcomes. CoRR (2022)
Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
Causal Transformer for Estimating Counterfactual Outcomes. ICML (2022)
Dennis Frauen, Stefan Feuerriegel
Estimating individual treatment effects under unobserved confounding using binary instruments. CoRR (2022)
Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
Normalizing Flows for Interventional Density Estimation. CoRR (2022)
Dennis Frauen, Tobias Hatt, Valentyn Melnychuk, Stefan Feuerriegel
Estimating average causal effects from patient trajectories. CoRR (2022)