1 code implementation • 25 Oct 2024 • Wanyu Zhang, JiaQi Zhang, Dongdong Ge, Yu Lin, Huiwen Yang, Huikang Liu, Yinyu Ye
This paper addresses the problem of vision-based pedestrian localization, which estimates a pedestrian's location using images and camera parameters.
no code implementations • 5 Oct 2024 • Jinsong Liu, Dongdong Ge, Ruihao Zhu
To address this, we propose the adoption of the generalized Bradley-Terry model -- the Bradley-Terry model with ties (BTT) -- to accommodate tied preferences, thus leveraging additional information.
no code implementations • 2 Sep 2024 • Hongpei Li, Han Zhang, Ziyan He, Yunkai Jia, Bo Jiang, Xiang Huang, Dongdong Ge
The Integrated Process Planning and Scheduling (IPPS) problem combines process route planning and shop scheduling to achieve high efficiency in manufacturing and maximize resource utilization, which is crucial for modern manufacturing systems.
1 code implementation • 28 May 2024 • Zhengyang Tang, Chenyu Huang, Xin Zheng, Shixi Hu, Zizhuo Wang, Dongdong Ge, Benyou Wang
We apply the data from OR-Instruct to various open-source LLMs of 7b size (termed as ORLMs), resulting in a significantly improved capability for optimization modeling.
no code implementations • 11 Feb 2024 • Wenzhi Gao, Chunlin Sun, Chenyu Xue, Dongdong Ge, Yinyu Ye
Online linear programming plays an important role in both revenue management and resource allocation, and recent research has focused on developing efficient first-order online learning algorithms.
no code implementations • 21 Aug 2023 • Jiyuan Tan, Chenyu Xue, Chuwen Zhang, Qi Deng, Dongdong Ge, Yinyu Ye
In this paper, we propose the stochastic homogeneous second-order descent method (SHSODM) for stochastic functions enjoying gradient dominance property based on a recently proposed homogenization approach.
no code implementations • 21 May 2023 • Yanguang Chen, Wenzhi Gao, Dongdong Ge, Yinyu Ye
In this paper, we propose a Pre-trained Mixed Integer Optimization framework (PreMIO) that accelerates online mixed integer program (MIP) solving with offline datasets and machine learning models.
no code implementations • 28 Jan 2023 • Jinsong Liu, Chenghan Xie, Qi Deng, Dongdong Ge, Yinyu Ye
In this paper, we propose several new stochastic second-order algorithms for policy optimization that only require gradient and Hessian-vector product in each iteration, making them computationally efficient and comparable to policy gradient methods.
3 code implementations • 30 Jul 2022 • Chuwen Zhang, Dongdong Ge, Chang He, Bo Jiang, Yuntian Jiang, Yinyu Ye
In this paper, we propose a Dimension-Reduced Second-Order Method (DRSOM) for convex and nonconvex (unconstrained) optimization.
1 code implementation • 18 Feb 2021 • Dongdong Ge, Chengwenjian Wang, Zikai Xiong, Yinyu Ye
The crossover method, which aims at deriving an optimal extreme point from a suboptimal solution (the output of a starting method such as interior-point methods or first-order methods), is crucial in this process.
Optimization and Control 90C05
no code implementations • 16 Mar 2020 • Yining Wang, Xi Chen, Xiangyu Chang, Dongdong Ge
In this paper, using the problem of demand function prediction in dynamic pricing as the motivating example, we study the problem of constructing accurate confidence intervals for the demand function.
no code implementations • NeurIPS 2019 • Dongdong Ge, Haoyue Wang, Zikai Xiong, Yinyu Ye
Computing the Wasserstein barycenter of a set of probability measures under the optimal transport metric can quickly become prohibitive for traditional second-order algorithms, such as interior-point methods, as the support size of the measures increases.