no code implementations • 29 Nov 2023 • David Esiobu, Xiaoqing Tan, Saghar Hosseini, Megan Ung, Yuchen Zhang, Jude Fernandes, Jane Dwivedi-Yu, Eleonora Presani, Adina Williams, Eric Michael Smith
In this work, our focus is two-fold: (1) Benchmarking: a comparison of 6 different prompt-based bias and toxicity metrics across 12 demographic axes and 5 families of generative LLMs.
no code implementations • 20 Jan 2023 • Xiaoqing Tan
In the third project, we propose a robust individualized decision learning framework with sensitive variables to improve the worst-case outcomes of individuals caused by sensitive variables that are unavailable at the time of decision.
1 code implementation • 12 Nov 2022 • Xiaoqing Tan, Zhengling Qi, Christopher W. Seymour, Lu Tang
This paper introduces RISE, a robust individualized decision learning framework with sensitive variables, where sensitive variables are collectible data and important to the intervention decision, but their inclusion in decision making is prohibited due to reasons such as delayed availability or fairness concerns.
1 code implementation • 23 Apr 2022 • Xiaoqing Tan, Shu Yang, Wenyu Ye, Douglas E. Faries, Ilya Lipkovich, Zbigniew Kadziola
Recently, various doubly robust methods have been proposed for average treatment effect estimation by combining the treatment model and the outcome model via different vehicles, such as matching, weighting, and regression.
no code implementations • 20 Mar 2022 • Shentong Mo, Jingfei Xia, Xiaoqing Tan, Bhiksha Raj
Our Point3D consists of a Point Head for action localization and a 3D Head for action classification.
1 code implementation • 10 Mar 2021 • Xiaoqing Tan, Chung-Chou H. Chang, Ling Zhou, Lu Tang
We propose a tree-based model averaging approach to improve the estimation accuracy of conditional average treatment effects (CATE) at a target site by leveraging models derived from other potentially heterogeneous sites, without them sharing subject-level data.
1 code implementation • 15 Dec 2020 • Shentong Mo, Xiaoqing Tan, Jingfei Xia, Pinxu Ren
Spatiotemporal action recognition deals with locating and classifying actions in videos.
1 code implementation • 30 Dec 2017 • Xiaoqian Zhang, Jian Weng, Weiqi Luo, Xiaoqing Tan
If a client wants to perform quantum computing but she does not have quantum computers with relevant quantum technologies.
Quantum Physics