Maresa Schröder

According to our database, Maresa Schröder authored at least 9 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2025

PrivATE: Differentially Private Confidence Intervals for Average Treatment Effects.

Maresa Schröder, Justin Hartenstein, Stefan Feuerriegel

CoRR, May, 2025

Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data.

Dennis Frauen, Maresa Schröder, Konstantin Hess, Stefan Feuerriegel

CoRR, May, 2025

Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets.

Yuxin Wang, Maresa Schröder, Dennis Frauen, Jonas Schweisthal, Konstantin Hess, Stefan Feuerriegel

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Differentially private learners for heterogeneous treatment effects.

Maresa Schröder, Valentyn Melnychuk, Stefan Feuerriegel

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Learning Representations of Instruments for Partial Identification of Treatment Effects.

Jonas Schweisthal, Dennis Frauen, Maresa Schröder, Konstantin Hess, Niki Kilbertus, Stefan Feuerriegel

CoRR, 2024

Conformal Prediction for Causal Effects of Continuous Treatments.

Maresa Schröder, Dennis Frauen, Jonas Schweisthal, Konstantin Hess, Valentyn Melnychuk, Stefan Feuerriegel

CoRR, 2024

Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework.

Maresa Schröder, Dennis Frauen, Stefan Feuerriegel

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

What about the Latent Space? The Need for Latent Feature Saliency Detection in Deep Time Series Classification.

Maresa Schröder, Alireza Zamanian, Narges Ahmidi

Mach. Learn. Knowl. Extr., March, 2023

Post-hoc Saliency Methods Fail to Capture Latent Feature Importance in Time Series Data.

Maresa Schröder, Alireza Zamanian, Narges Ahmidi

Proceedings of the Trustworthy Machine Learning for Healthcare, 2023