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07/05/2023
Multi-Task Learning with Summary Statistics
Multi-task learning has emerged as a powerful machine learning paradigm ...
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10/23/2022
Robust angle-based transfer learning in high dimensions
Transfer learning aims to improve the performance of a target model by l...
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07/26/2022
Perception-Aware Attack: Creating Adversarial Music via Reverse-Engineering Human Perception
Recently, adversarial machine learning attacks have posed serious securi...
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06/06/2022
Generalized Federated Learning via Sharpness Aware Minimization
Federated Learning (FL) is a promising framework for performing privacy-...
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02/19/2022
SODA: Site Object Detection dAtaset for Deep Learning in Construction
Computer vision-based deep learning object detection algorithms have bee...
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12/17/2021
Federated Adaptive Causal Estimation (FACE) of Target Treatment Effects
Federated learning of causal estimands may greatly improve estimation ef...
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12/02/2021
Context-Aware Online Client Selection for Hierarchical Federated Learning
Federated Learning (FL) has been considered as an appealing framework to...
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08/27/2021
Targeting Underrepresented Populations in Precision Medicine: A Federated Transfer Learning Approach
The limited representation of minorities and disadvantaged populations i...
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03/23/2021
On the global identifiability of logistic regression models with misclassified outcomes
In the last decade, the secondary use of large data from health systems,...
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07/02/2020
Testing for publication bias in meta-analysis under Copas selection model
In meta-analyses, publication bias is a well-known, important and challe...
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03/25/2020
Missing at Random or Not: A Semiparametric Testing Approach
Practical problems with missing data are common, and statistical methods...
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12/20/2019