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Harsh Parikh

Data Fusion for Partial Identification of Causal Effects

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May 30, 2025
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A Cautionary Tale on Integrating Studies with Disparate Outcome Measures for Causal Inference

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May 16, 2025
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Graph Neural Network based Double Machine Learning Estimator of Network Causal Effects

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Mar 17, 2024
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Towards Generalizing Inferences from Trials to Target Populations

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Feb 26, 2024
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Who Are We Missing? A Principled Approach to Characterizing the Underrepresented Population

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Jan 25, 2024
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Interpretable Causal Inference for Analyzing Wearable, Sensor, and Distributional Data

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Dec 17, 2023
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Estimating Trustworthy and Safe Optimal Treatment Regimes

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Oct 23, 2023
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A Double Machine Learning Approach to Combining Experimental and Observational Data

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Jul 04, 2023
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From Feature Importance to Distance Metric: An Almost Exact Matching Approach for Causal Inference

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Feb 23, 2023
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Are Synthetic Control Weights Balancing Score?

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Nov 03, 2022
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