Search Results for author: Yimin Huang

Found 9 papers, 2 papers with code

Machine Learning Insides OptVerse AI Solver: Design Principles and Applications

no code implementations11 Jan 2024 Xijun Li, Fangzhou Zhu, Hui-Ling Zhen, Weilin Luo, Meng Lu, Yimin Huang, Zhenan Fan, Zirui Zhou, Yufei Kuang, Zhihai Wang, Zijie Geng, Yang Li, Haoyang Liu, Zhiwu An, Muming Yang, Jianshu Li, Jie Wang, Junchi Yan, Defeng Sun, Tao Zhong, Yong Zhang, Jia Zeng, Mingxuan Yuan, Jianye Hao, Jun Yao, Kun Mao

To this end, we present a comprehensive study on the integration of machine learning (ML) techniques into Huawei Cloud's OptVerse AI Solver, which aims to mitigate the scarcity of real-world mathematical programming instances, and to surpass the capabilities of traditional optimization techniques.

Decision Making Management

EFMVFL: An Efficient and Flexible Multi-party Vertical Federated Learning without a Third Party

no code implementations17 Jan 2022 Yimin Huang, Xinyu Feng, Wanwan Wang, Hao He, Yukun Wang, Ming Yao

In most VFL frameworks, to protect the security and privacy of the participants' local data, a third party is needed to generate homomorphic encryption key pairs and perform decryption operations.

regression Vertical Federated Learning

Optimal Designs of Gaussian Processes with Budgets for Hyperparameter Optimization

no code implementations1 Jan 2021 Yimin Huang, YuJun Li, Zhenguo Li, Zhihua Zhang

Moreover, comparisons between different initial designs with the same model show the advantage of the proposed optimal design.

Gaussian Processes Hyperparameter Optimization

MOFA: Modular Factorial Design for Hyperparameter Optimization

no code implementations18 Nov 2020 Bo Xiong, Yimin Huang, Hanrong Ye, Steffen Staab, Zhenguo Li

MOFA pursues several rounds of HPO, where each round alternates between exploration of hyperparameter space by factorial design and exploitation of evaluation results by factorial analysis.

Hyperparameter Optimization Model Selection

AABO: Adaptive Anchor Box Optimization for Object Detection via Bayesian Sub-sampling

no code implementations ECCV 2020 Wenshuo Ma, Tingzhong Tian, Hang Xu, Yimin Huang, Zhenguo Li

By carefully analyzing the existing bounding box patterns on the feature hierarchy, we design a flexible and tight hyper-parameter space for anchor configurations.

Bayesian Optimization object-detection +1

An Asymptotically Optimal Multi-Armed Bandit Algorithm and Hyperparameter Optimization

1 code implementation11 Jul 2020 Yimin Huang, Yu-Jun Li, Hanrong Ye, Zhenguo Li, Zhihua Zhang

The evaluation of hyperparameters, neural architectures, or data augmentation policies becomes a critical model selection problem in advanced deep learning with a large hyperparameter search space.

Bayesian Optimization Data Augmentation +6

Meta-Learning PAC-Bayes Priors in Model Averaging

no code implementations24 Dec 2019 Yimin Huang, Weiran Huang, Liang Li, Zhenguo Li

In this paper, we mainly consider the scenario in which we have a common model set used for model averaging instead of selecting a single final model via a model selection procedure to account for this model's uncertainty to improve the reliability and accuracy of inferences.

Meta-Learning Model Selection

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