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01/20/2023
Causal Inference under Data Restrictions
This dissertation focuses on modern causal inference under uncertainty a...
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11/12/2022
RISE: Robust Individualized Decision Learning with Sensitive Variables
This paper introduces RISE, a robust individualized decision learning fr...
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04/23/2022
When Doubly Robust Methods Meet Machine Learning for Estimating Treatment Effects from Real-World Data: A Comparative Study
Observational cohort studies are increasingly being used for comparative...
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03/20/2022
Point3D: tracking actions as moving points with 3D CNNs
Spatio-temporal action recognition has been a challenging task that invo...
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03/10/2021
A Tree-based Federated Learning Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources
Federated learning is an appealing framework for analyzing sensitive dat...
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03/06/2021
Identifying Principal Stratum Causal Effects Conditional on a Post-treatment Intermediate Response
In neoadjuvant trials on early-stage breast cancer, patients are usually...
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12/15/2020
Towards Improving Spatiotemporal Action Recognition in Videos
Spatiotemporal action recognition deals with locating and classifying ac...
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08/23/2020