Parikh, Harsh

8 publications

NeurIPS 2025 A Cautionary Tale on Integrating Studies with Disparate Outcome Measures for Causal Inference Harsh Parikh, Trang Quynh Nguyen, Elizabeth Stuart, Kara E. Rudolph, Caleb H Miles

NeurIPS 2025 Data Fusion for Partial Identification of Causal Effects Quinn Lanners, Cynthia Rudin, Alexander Volfovsky, Harsh Parikh

AISTATS 2025 Graph Machine Learning Based Doubly Robust Estimator for Network Causal Effects Seyedeh Baharan Khatami, Harsh Parikh, Haowei Chen, Sudeepa Roy, Babak Salimi

AISTATS 2024 Interpretable Causal Inference for Analyzing Wearable, Sensor, and Distributional Data Srikar Katta, Harsh Parikh, Cynthia Rudin, Alexander Volfovsky

AISTATS 2024 Safe and Interpretable Estimation of Optimal Treatment Regimes Harsh Parikh, Quinn M Lanners, Zade Akras, Sahar Zafar, M Brandon Westover, Cynthia Rudin, Alexander Volfovsky

UAI 2023 Variable Importance Matching for Causal Inference Quinn Lanners, Harsh Parikh, Alexander Volfovsky, Cynthia Rudin, David Page

JMLR 2022 MALTS: Matching After Learning to Stretch Harsh Parikh, Cynthia Rudin, Alexander Volfovsky

ICML 2022 Validating Causal Inference Methods Harsh Parikh, Carlos Varjao, Louise Xu, Eric Tchetgen Tchetgen