no code implementations • 19 May 2023 • Liting Chen, Lu Wang, Hang Dong, Yali Du, Jie Yan, Fangkai Yang, Shuang Li, Pu Zhao, Si Qin, Saravan Rajmohan, QIngwei Lin, Dongmei Zhang
The emergence of large language models (LLMs) has substantially influenced natural language processing, demonstrating exceptional results across various tasks.
1 code implementation • NeurIPS 2023 • Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, QIngwei Lin, Saravan Rajmohan, Thomas Moscibroda, Dongmei Zhang
In this paper, we propose Conservative State Value Estimation (CSVE), a new approach that learns conservative V-function via directly imposing penalty on OOD states.
no code implementations • 20 Jul 2022 • Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, QIngwei Lin, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang
This paper investigates a critical resource allocation problem in the first party cloud: scheduling containers to machines.
no code implementations • NeurIPS 2021 • Kai Yan, Jie Yan, Chuan Luo, Liting Chen, QIngwei Lin, Dongmei Zhang
Prediction+optimization is a common real-world paradigm where we have to predict problem parameters before solving the optimization problem.
1 code implementation • 22 Nov 2021 • Kai Yan, Jie Yan, Chuan Luo, Liting Chen, QIngwei Lin, Dongmei Zhang
Prediction+optimization is a common real-world paradigm where we have to predict problem parameters before solving the optimization problem.