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06/07/2023
Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time
Machine learning (ML) holds great potential for accurately forecasting t...
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02/23/2023
Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data
We study the problem of inferring heterogeneous treatment effects (HTEs)...
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02/06/2023
In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation
Personalized treatment effect estimates are often of interest in high-st...
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08/11/2022
Adaptively Identifying Patient Populations With Treatment Benefit in Clinical Trials
We study the problem of adaptively identifying patient subpopulations th...
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06/16/2022
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability
Estimating personalized effects of treatments is a complex, yet pervasiv...
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06/15/2022
HyperImpute: Generalized Iterative Imputation with Automatic Model Selection
Consider the problem of imputing missing values in a dataset. One the on...
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03/14/2022
Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies
Human decision making is well known to be imperfect and the ability to a...
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02/25/2022
Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects
Estimating heterogeneous treatment effects is an important problem acros...
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12/07/2021
Disentangled Counterfactual Recurrent Networks for Treatment Effect Inference over Time
Choosing the best treatment-plan for each individual patient requires ac...
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10/26/2021
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data
We study the problem of inferring heterogeneous treatment effects from t...
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07/28/2021
Doing Great at Estimating CATE? On the Neglected Assumptions in Benchmark Comparisons of Treatment Effect Estimators
The machine learning toolbox for estimation of heterogeneous treatment e...
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06/07/2021
On Inductive Biases for Heterogeneous Treatment Effect Estimation
We investigate how to exploit structural similarities of an individual's...
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01/26/2021
Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms
The need to evaluate treatment effectiveness is ubiquitous in most of em...
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08/14/2020