Author of the publication

Benchmarking Observational Studies with Experimental Data under Right-Censoring.

, , , , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 4285-4293. PMLR, (2024)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

ML4H Abstract Track 2019., , , , , , , and . CoRR, (2020)Evaluating Robustness to Dataset Shift via Parametric Robustness Sets., , and . NeurIPS, (2022)Auditing Fairness under Unobserved Confounding., , , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 4339-4347. PMLR, (2024)Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models., and . CoRR, (2019)Treatment Policy Learning in Multiobjective Settings with Fully Observed Outcomes., , , , and . KDD, page 1937-1947. ACM, (2020)Characterization of Overlap in Observational Studies., , , , , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 788-798. PMLR, (2020)Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium., , , , , , , , , and 33 other author(s). CoRR, (2024)Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance., , , , , and . NeurIPS, page 15328-15343. (2021)Benchmarking Observational Studies with Experimental Data under Right-Censoring., , , , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 4285-4293. PMLR, (2024)Machine Learning for Health ( ML4H ) 2019 : What Makes Machine Learning in Medicine Different?, , , , , , , , , and . ML4H@NeurIPS, volume 116 of Proceedings of Machine Learning Research, page 1-9. PMLR, (2019)