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01/30/2023
Falsification of Internal and External Validity in Observational Studies via Conditional Moment Restrictions
Randomized Controlled Trials (RCT)s are relied upon to assess new treatm...
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09/27/2022
Falsification before Extrapolation in Causal Effect Estimation
Randomized Controlled Trials (RCTs) represent a gold standard when devel...
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05/31/2022
Evaluating Robustness to Dataset Shift via Parametric Robustness Sets
We give a method for proactively identifying small, plausible shifts in ...
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05/21/2022
Bias-robust Integration of Observational and Experimental Estimators
We describe a simple approach for combining an unbiased and a (possibly)...
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10/27/2021
Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance
Individuals often make different decisions when faced with the same cont...
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03/03/2021
Regularizing towards Causal Invariance: Linear Models with Proxies
We propose a method for learning linear models whose predictive performa...
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10/08/2020
Trajectory Inspection: A Method for Iterative Clinician-Driven Design of Reinforcement Learning Studies
Treatment policies learned via reinforcement learning (RL) from observat...
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06/01/2020
Treatment Policy Learning in Multiobjective Settings with Fully Observed Outcomes
In several medical decision-making problems, such as antibiotic prescrip...
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02/05/2020
ML4H Abstract Track 2019
A collection of the accepted abstracts for the Machine Learning for Heal...
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07/09/2019
Characterization of Overlap in Observational Studies
Overlap between treatment groups is required for nonparametric estimatio...
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05/14/2019