research
∙
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...
share
research
∙
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)...
research
∙
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...
research
∙
08/11/2022
Adaptively Identifying Patient Populations With Treatment Benefit in Clinical Trials
We study the problem of adaptively identifying patient subpopulations th...
research
∙
06/16/2022
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability
Estimating personalized effects of treatments is a complex, yet pervasiv...
research
∙
06/15/2022
HyperImpute: Generalized Iterative Imputation with Automatic Model Selection
Consider the problem of imputing missing values in a dataset. One the on...
research
∙
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...
research
∙
02/25/2022
Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects
Estimating heterogeneous treatment effects is an important problem acros...
research
∙
12/07/2021
Disentangled Counterfactual Recurrent Networks for Treatment Effect Inference over Time
Choosing the best treatment-plan for each individual patient requires ac...
research
∙
10/26/2021
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data
We study the problem of inferring heterogeneous treatment effects from t...
research
∙
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...
research
∙
06/07/2021
On Inductive Biases for Heterogeneous Treatment Effect Estimation
We investigate how to exploit structural similarities of an individual's...
research
∙
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...
research
∙
08/14/2020
