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Papers
When Environments Shift: Safe Planning with Generative Priors and Robust Conformal Prediction
L4DC 2026
Double Debiased Machine Learning for Mediation Analysis with Continuous Treatments
AISTATS 2025
Orthogonal Causal Calibration (Extended Abstract)
COLT 2025
Bayesian Active Learning in the Presence of Nuisance Parameters
UAI 2024
Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference
ICML 2024
Hyperparameter Tuning for Causal Inference with Double Machine Learning: A Simulation Study
CLeaR 2024
DoubleML - An Object-Oriented Implementation of Double Machine Learning in Python
JMLR 2022
Orthogonal Statistical Learning with Self-Concordant Loss
COLT 2022
Statistical Learning with a Nuisance Component (Extended Abstract)
IJCAI 2020
Orthogonal Machine Learning: Power and Limitations
ICML 2018
Learning to Pivot with Adversarial Networks
NeurIPS 2017