67 citations · 111 across the 41 of their papers we have counts for
8 papers · 1 filter
Distributional Treatment Effect Transportability across Heterogeneous Sites
Borna Bateni, Yubai Yuan, Qi Xu +1
We study distributional transportability of treatment effects in a ``cross-site, one-armed target" design, where both treated and control units are observed in a source site, but o…
Syntax-Guided Diffusion Language Models with User-Integrated Personalization
Ruqian Zhang, Yijiao Zhang, Juan Shen +2
Large language models have made revolutionary progress in generating human-like text, yet their outputs often tend to be generic, exhibiting insufficient structural diversity, whic…
Meta Fusion: A Unified Framework For Multimodality Fusion with Mutual Learning
Ziyi Liang, Annie Qu, Babak Shahbaba
Developing effective multimodal data fusion strategies has become increasingly essential for improving the predictive power of statistical machine learning methods across a wide ra…
Multi-task Learning for Heterogeneous Multi-source Block-Wise Missing Data
Yang Sui, Qi Xu, Yang Bai +1
Multi-task learning (MTL) has emerged as an imperative machine learning tool to solve multiple learning tasks simultaneously and has been successfully applied to healthcare, market…
Multi-Task Learning with Covariate-Overlap Regularization
Yang Sui, Qi Xu, Yang Bai +1
Multi-task learning improves data efficiency by sharing information across related tasks, but indiscriminate sharing can be harmful when their covariate distributions and response…
Partially-shared Imaging Regression on Integrating Heterogeneous Brain-Cognition Associations across Alzheimer's Diagnoses
Yang Sui, Qi Xu, Ting Li +2
Alzheimer's Disease Neuroimaging Initiative (ADNI) diagnostic groups present strong heterogeneous associations among demographic, imaging, and cognitive data. We propose a novel PA…
Reinforcement Learning for Individual Optimal Policy from Heterogeneous Data
Rui Miao, Babak Shahbaba, Annie Qu
Offline reinforcement learning (RL) aims to find optimal policies in dynamic environments in order to maximize the expected total rewards by leveraging pre-collected data. Learning…
Representation Retrieval Learning for Heterogeneous Data Integration
Qi Xu, Annie Qu
In the era of big data, large-scale, multi-source, multi-modality datasets are increasingly ubiquitous, offering unprecedented opportunities for predictive modeling and scientific…