Erik Sverdrup

According to our database, Erik Sverdrup authored at least 4 papers between 2020 and 2025.

Collaborative distances:

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

2025

Statistical Learning for Heterogeneous Treatment Effects: Pretraining, Prognosis, and Prediction.

Maximilian Schüßler, Erik Sverdrup, Robert Tibshirani

CoRR, May, 2025

2023

Proximal Causal Learning of Heterogeneous Treatment Effects.

Erik Sverdrup, Yifan Cui

CoRR, 2023

Proximal Causal Learning of Conditional Average Treatment Effects.

Erik Sverdrup, Yifan Cui

Proceedings of the International Conference on Machine Learning, 2023

2020

policytree: Policy learning via doubly robust empirical welfare maximization over trees.

Erik Sverdrup, Ayush Kanodia, Zhengyuan Zhou, Susan Athey, Stefan Wager

J. Open Source Softw., 2020