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09/13/2023
Anytime-valid inference in N-of-1 trials
App-based N-of-1 trials offer a scalable experimental design for assessi...
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06/14/2023
Kernel Debiased Plug-in Estimation
We consider the problem of estimating a scalar target parameter in the p...
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01/27/2023
Multi-task Highly Adaptive Lasso
We propose a novel, fully nonparametric approach for the multi-task lear...
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12/05/2022
Adaptive Sequential Surveillance with Network and Temporal Dependence
Strategic test allocation plays a major role in the control of both emer...
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09/28/2021
Evaluating the Robustness of Targeted Maximum Likelihood Estimators via Realistic Simulations in Nutrition Intervention Trials
Several recently developed methods have the potential to harness machine...
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09/21/2021
Personalized Online Machine Learning
In this work, we introduce the Personalized Online Super Learner (POSL) ...
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01/29/2021
Adaptive Sequential Design for a Single Time-Series
The current work is motivated by the need for robust statistical methods...
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06/12/2020
Targeting Learning: Robust Statistics for Reproducible Research
Targeted Learning is a subfield of statistics that unifies advances in c...
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12/13/2019
More Efficient Off-Policy Evaluation through Regularized Targeted Learning
We study the problem of off-policy evaluation (OPE) in Reinforcement Lea...
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09/03/2018
