Mar 24, 2024 · We describe a program evaluation pipeline that uses recent interpretable machine learning techniques for observational causal inference.

Evaluating Pre-trial Programs Using Interpretable Machine Learning Matching. Algorithms for Causal Inference. Travis Seale-Carlisle*1, Saksham Jain*2 ...

Mar 26, 2024 · We describe a program evaluation pipeline that uses recent interpretable machine learning techniques for observational causal inference, and ...

Keywords Program evaluation · causal inference matching · interpretable machine learning · pre-trial ... interpretable machine learning matching algorithms ...

Feb 24, 2024 · originals · Evaluating Pre-trial Programs Using Interpretable Machine Learning Matching Algorithms for Causal Inference · Speakers · Downloads.

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This project introduces a framework for interpretable, patient-centered causal inference and policy design for in-hospital patient care.

Evaluating Pre-trial Programs Using Interpretable Machine Learning Matching Algorithms for Causal Inference. In: Proceedings of the AAAI Conference on ...

Evaluating Pre-trial Programs Using Interpretable Machine Learning Matching Algorithms for Causal Inference. T Seale-Carlisle, S Jain, C Lee, C Levenson, S ...

Evaluating Pre-trial Programs Using Interpretable Machine Learning Matching Algorithms for Causal Inference. Conference Proceedings of the AAAI Conference on ...