Maresa Schröder

17 papers A* 4Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Causal Inference on Networks under Misspecified Exposure Mappings: A Partial Identification Framework. CoRR Maresa Schröder, Miruna Oprescu, Stefan Feuerriegel, Nathan Kallus
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`	Differentially Private Learners for Heterogeneous Treatment Effects. CoRR Maresa Schröder, Valentyn Melnychuk, Stefan Feuerriegel
2025	A*	`conf`	Differentially private learners for heterogeneous treatment effects. ICLR Maresa Schröder, Valentyn Melnychuk, 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	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`	PrivATE: Differentially Private Confidence Intervals for Average Treatment Effects. CoRR Maresa Schröder, Justin Hartenstein, Stefan Feuerriegel
2025	J	`jnl`	Spatial Deconfounder: Interference-Aware Deconfounding for Spatial Causal Inference. CoRR Ayush Khot, Miruna Oprescu, Maresa Schröder, Ai Kagawa, Xihaier Luo
2025	J	`jnl`	SurvDiff: A Diffusion Model for Generating Synthetic Data in Survival Analysis. CoRR Marie Brockschmidt, Maresa Schröder, Stefan Feuerriegel
2024	A*	`conf`	Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework. ICLR Maresa Schröder, Dennis Frauen, Stefan Feuerriegel
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	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
2023	J	`jnl`	Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework. CoRR Maresa Schröder, Dennis Frauen, Stefan Feuerriegel
2023	—	`conf`	Post-hoc Saliency Methods Fail to Capture Latent Feature Importance in Time Series Data. TML4H Maresa Schröder, Alireza Zamanian, Narges Ahmidi
2023	J	`jnl`	What about the Latent Space? The Need for Latent Feature Saliency Detection in Deep Time Series Classification. Mach. Learn. Knowl. Extr. Maresa Schröder, Alireza Zamanian, Narges Ahmidi