Dennis Frauen - RankMe

55 papers A* 17Journal 38

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generalized Bayes for Causal Inference. CoRR Emil Javurek, Dennis Frauen, Yuxin Wang, Stefan Feuerriegel
2026	J	`jnl`	Nonparametric LLM Evaluation from Preference Data. CoRR Dennis Frauen, Athiya Deviyani, Mihaela van der Schaar, Stefan Feuerriegel
2026	J	`jnl`	Rank-Learner: Orthogonal Ranking of Treatment Effects. CoRR Henri Arno, Dennis Frauen, Emil Javurek, Thomas Demeester, Stefan Feuerriegel
2026	J	`jnl`	Targeted Synthetic Control Method. CoRR Yuxin Wang, Dennis Frauen, Emil Javurek, Konstantin Hess, Yuchen Ma, Stefan Feuerriegel
2025	J	`jnl`	Algorithms for reliable decision-making need causal reasoning. Nat. Comput. Sci. Christoph Kern, Unai Fischer Abaigar, Jonas Schweisthal, Dennis Frauen, Rayid Ghani, Stefan Feuerriegel, Mihaela van der Schaar, Frauke Kreuter
2025	J	`jnl`	An Orthogonal Learner for Individualized Outcomes in Markov Decision Processes. CoRR Emil Javurek, Valentyn Melnychuk, Jonas Schweisthal, Konstantin Hess, Dennis Frauen, Stefan Feuerriegel
2025	J	`jnl`	Assessing the robustness of heterogeneous treatment effects in survival analysis under informative censoring. CoRR Yuxin Wang, Dennis Frauen, Jonas Schweisthal, Maresa Schröder, Stefan Feuerriegel
2025	A*	`conf`	Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets. ICLR Yuxin Wang, Maresa Schröder, Dennis Frauen, Jonas Schweisthal, Konstantin Hess, Stefan Feuerriegel
2025	J	`jnl`	DeepBlip: Estimating Conditional Average Treatment Effects Over Time. CoRR Haorui Ma, Dennis Frauen, Stefan Feuerriegel
2025	J	`jnl`	Efficient and Sharp Off-Policy Learning under Unobserved Confounding. CoRR Konstantin Hess, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
2025	J	`jnl`	Foundation Models for Causal Inference via Prior-Data Fitted Networks. CoRR Yuchen Ma, Dennis Frauen, Emil Javurek, Stefan Feuerriegel
2025	J	`jnl`	Improving the Generation and Evaluation of Synthetic Data for Downstream Medical Causal Inference. CoRR Harry Amad, Zhaozhi Qian, Dennis Frauen, Julianna Piskorz, Stefan Feuerriegel, Mihaela van der Schaar
2025	J	`jnl`	LLM-Driven Treatment Effect Estimation Under Inference Time Text Confounding. CoRR Yuchen Ma, Dennis Frauen, Jonas Schweisthal, Stefan Feuerriegel
2025	A*	`conf`	Learning Representations of Instruments for Partial Identification of Treatment Effects. ICML Jonas Schweisthal, Dennis Frauen, Maresa Schröder, Konstantin Hess, Niki Kilbertus, Stefan Feuerriegel
2025	A*	`conf`	Model-agnostic meta-learners for estimating heterogeneous treatment effects over time. ICLR Dennis Frauen, Konstantin Hess, Stefan Feuerriegel
2025	J	`jnl`	Orthogonal Representation Learning for Estimating Causal Quantities. CoRR Valentyn Melnychuk, Dennis Frauen, Jonas Schweisthal, Stefan Feuerriegel
2025	J	`jnl`	Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data. CoRR Dennis Frauen, Maresa Schröder, Konstantin Hess, Stefan Feuerriegel
2025	J	`jnl`	Overlap-Adaptive Regularization for Conditional Average Treatment Effect Estimation. CoRR Valentyn Melnychuk, Dennis Frauen, Jonas Schweisthal, Stefan Feuerriegel
2025	J	`jnl`	Overlap-weighted orthogonal meta-learner for treatment effect estimation over time. CoRR Konstantin Hess, Dennis Frauen, Mihaela van der Schaar, Stefan Feuerriegel
2025	J	`jnl`	Treatment Effect Estimation for Optimal Decision-Making. CoRR Dennis Frauen, Valentyn Melnychuk, Jonas Schweisthal, Mihaela van der Schaar, Stefan Feuerriegel
2024	A*	`conf`	A Neural Framework for Generalized Causal Sensitivity Analysis. ICLR Dennis Frauen, Fergus Imrie, Alicia Curth, Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar
2024	A*	`conf`	Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation. ICLR Konstantin Hess, Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
2024	A*	`conf`	Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation. ICLR Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
2024	A*	`conf`	Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework. ICLR Maresa Schröder, Dennis Frauen, Stefan Feuerriegel
2024	A*	`conf`	Causal Machine Learning for Cost-Effective Allocation of Development Aid. KDD Milan Kuzmanovic, Dennis Frauen, Tobias Hatt, Stefan Feuerriegel
2024	J	`jnl`	Causal Machine Learning for Cost-Effective Allocation of Development Aid. CoRR Milan Kuzmanovic, Dennis Frauen, Tobias Hatt, Stefan Feuerriegel
2024	J	`jnl`	Causal machine learning for predicting treatment outcomes. CoRR Stefan Feuerriegel, Dennis Frauen, Valentyn Melnychuk, Jonas Schweisthal, Konstantin Hess, Alicia Curth, Stefan Bauer, Niki Kilbertus, Isaac S. Kohane, Mihaela van der Schaar
2024	J	`jnl`	Conformal Prediction for Causal Effects of Continuous Treatments. CoRR Maresa Schröder, Dennis Frauen, Jonas Schweisthal, Konstantin Hess, Valentyn Melnychuk, Stefan Feuerriegel
2024	J	`jnl`	Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets. CoRR Yuxin Wang, Maresa Schröder, Dennis Frauen, Jonas Schweisthal, Konstantin Hess, Stefan Feuerriegel
2024	A*	`conf`	Fair Off-Policy Learning from Observational Data. ICML Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
2024	J	`jnl`	G-Transformer for Conditional Average Potential Outcome Estimation over Time. CoRR Konstantin Hess, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
2024	J	`jnl`	Learning Representations of Instruments for Partial Identification of Treatment Effects. CoRR Jonas Schweisthal, Dennis Frauen, Maresa Schröder, Konstantin Hess, Niki Kilbertus, Stefan Feuerriegel
2024	A*	`conf`	Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments. ICML Jonas Schweisthal, Dennis Frauen, Mihaela van der Schaar, Stefan Feuerriegel
2024	J	`jnl`	Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments. CoRR Jonas Schweisthal, Dennis Frauen, Mihaela van der Schaar, Stefan Feuerriegel
2024	J	`jnl`	Model-agnostic meta-learners for estimating heterogeneous treatment effects over time. CoRR Dennis Frauen, Konstantin Hess, Stefan Feuerriegel
2023	J	`jnl`	A Neural Framework for Generalized Causal Sensitivity Analysis. CoRR Dennis Frauen, Fergus Imrie, Alicia Curth, Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar
2023	J	`jnl`	Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation. CoRR Konstantin Hess, Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
2023	J	`jnl`	Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation. CoRR Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
2023	J	`jnl`	Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework. CoRR Maresa Schröder, Dennis Frauen, Stefan Feuerriegel
2023	J	`jnl`	Counterfactual Fairness for Predictions using Generative Adversarial Networks. CoRR Yuchen Ma, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
2023	A*	`conf`	Estimating Average Causal Effects from Patient Trajectories. AAAI Dennis Frauen, Tobias Hatt, Valentyn Melnychuk, Stefan Feuerriegel
2023	A*	`conf`	Estimating individual treatment effects under unobserved confounding using binary instruments. ICLR Dennis Frauen, Stefan Feuerriegel
2023	J	`jnl`	Fair Off-Policy Learning from Observational Data. CoRR Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
2023	A*	`conf`	Normalizing Flows for Interventional Density Estimation. ICML Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
2023	A*	`conf`	Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model. NeurIPS Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
2023	J	`jnl`	Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model. CoRR Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
2023	A*	`conf`	Reliable Off-Policy Learning for Dosage Combinations. NeurIPS Jonas Schweisthal, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
2023	J	`jnl`	Reliable Off-Policy Learning for Dosage Combinations. CoRR Jonas Schweisthal, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
2023	A*	`conf`	Sharp Bounds for Generalized Causal Sensitivity Analysis. NeurIPS Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
2023	J	`jnl`	Sharp Bounds for Generalized Causal Sensitivity Analysis. CoRR Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
2022	A*	`conf`	Causal Transformer for Estimating Counterfactual Outcomes. ICML Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
2022	J	`jnl`	Causal Transformer for Estimating Counterfactual Outcomes. CoRR Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
2022	J	`jnl`	Estimating average causal effects from patient trajectories. CoRR Dennis Frauen, Tobias Hatt, Valentyn Melnychuk, Stefan Feuerriegel
2022	J	`jnl`	Estimating individual treatment effects under unobserved confounding using binary instruments. CoRR Dennis Frauen, Stefan Feuerriegel
2022	J	`jnl`	Normalizing Flows for Interventional Density Estimation. CoRR Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel