Kennedy, Edward

8 publications

TMLR 2026 Accounting for Missing Covariates in Heterogeneous Treatment Estimation Khurram Yamin, Vibhhu Sharma, Edward Kennedy, Bryan Wilder

UAI 2025 Dependent Randomized Rounding for Budget Constrained Experimental Design Khurram Yamin, Edward Kennedy, Bryan Wilder

NeurIPS 2025 Handling Missing Responses Under Cluster Dependence with Applications to Language Model Evaluation Zhenghao Zeng, David Arbour, Avi Feller, Ishita Dasgupta, Atanu R. Sinha, Edward Kennedy

ICML 2024 Continuous Treatment Effects with Surrogate Outcomes Zhenghao Zeng, David Arbour, Avi Feller, Raghavendra Addanki, Ryan A. Rossi, Ritwik Sinha, Edward Kennedy

ICLR 2024 Counterfactual Density Estimation Using Kernel Stein Discrepancies Diego Martinez-Taboada, Edward Kennedy

NeurIPS 2023 An Efficient Doubly-Robust Test for the Kernel Treatment Effect Diego Martinez Taboada, Aaditya Ramdas, Edward Kennedy

NeurIPS 2022 Doubly Robust Counterfactual Classification Kwangho Kim, Edward Kennedy, Jose Zubizarreta

NeurIPS 2020 Counterfactual Predictions Under Runtime Confounding Amanda Coston, Edward Kennedy, Alexandra Chouldechova