Curth, Alicia

17 publications

ICLR 2024 A Neural Framework for Generalized Causal Sensitivity Analysis Dennis Frauen, Fergus Imrie, Alicia Curth, Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar

CLeaR 2024 Cautionary Tales on Synthetic Controls in Survival Analyses Alicia Curth, Hoifung Poon, Aditya V. Nori, Javier González

NeurIPS 2024 Deep Learning Through a Telescoping Lens: A Simple Model Provides Empirical Insights on Grokking, Gradient Boosting & Beyond Alan Jeffares, Alicia Curth, Mihaela van der Schaar

ICLR 2024 Defining Expertise: Applications to Treatment Effect Estimation Alihan Hüyük, Qiyao Wei, Alicia Curth, Mihaela van der Schaar

ICMLW 2024 Looking at Deep Learning Phenomena Through a Telescoping Lens Alan Jeffares, Alicia Curth, Mihaela van der Schaar

NeurIPS 2023 A U-Turn on Double Descent: Rethinking Parameter Counting in Statistical Learning Alicia Curth, Alan Jeffares, Mihaela van der Schaar

ICML 2023 Accounting for Informative Sampling When Learning to Forecast Treatment Outcomes over Time Toon Vanderschueren, Alicia Curth, Wouter Verbeke, Mihaela Van Der Schaar

ICML 2023 Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and Solutions Alicia Curth, Alihan Hüyük, Mihaela Van Der Schaar

ICML 2023 In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation Alicia Curth, Mihaela Van Der Schaar

AISTATS 2023 Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data Alicia Curth, Mihaela Schaar

NeurIPS 2022 Benchmarking Heterogeneous Treatment Effect Models Through the Lens of Interpretability Jonathan Crabbé, Alicia Curth, Ioana Bica, Mihaela van der Schaar

ICML 2022 HyperImpute: Generalized Iterative Imputation with Automatic Model Selection Daniel Jarrett, Bogdan C Cebere, Tennison Liu, Alicia Curth, Mihaela Schaar

ICLR 2022 Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies Alex Chan, Alicia Curth, Mihaela van der Schaar

AISTATS 2021 Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms Alicia Curth, Mihaela Schaar

NeurIPS 2021 Estimating Multi-Cause Treatment Effects via Single-Cause Perturbation Zhaozhi Qian, Alicia Curth, Mihaela van der Schaar

NeurIPS 2021 On Inductive Biases for Heterogeneous Treatment Effect Estimation Alicia Curth, Mihaela van der Schaar

NeurIPS 2021 SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data Alicia Curth, Changhee Lee, Mihaela van der Schaar