no code implementations • 17 Jan 2024 • Zhirui Chen, P. N. Karthik, Yeow Meng Chee, Vincent Y. F. Tan
We study best arm identification (BAI) in linear bandits in the fixed-budget regime under differential privacy constraints, when the arm rewards are supported on the unit interval.
no code implementations • 9 Feb 2023 • Hexiang Pan, Quang-Trung Ta, Meihui Zhang, Yeow Meng Chee, Gang Chen, Beng Chin Ooi
Consequently, it improves both the response time and throughput, and effectively handles nodes distributed across the Internet where crash and network failures might occur.
1 code implementation • 14 Oct 2022 • Jieyi Bi, Yining Ma, Jiahai Wang, Zhiguang Cao, Jinbiao Chen, Yuan Sun, Yeow Meng Chee
Recent neural methods for vehicle routing problems always train and test the deep models on the same instance distribution (i. e., uniform).
no code implementations • 14 Oct 2022 • Zhirui Chen, P. N. Karthik, Vincent Y. F. Tan, Yeow Meng Chee
Furthermore, we show that for any algorithm whose upper bound on the expected stopping time matches with the lower bound up to a multiplicative constant ({\em almost-optimal} algorithm), the ratio of any two consecutive communication time instants must be {\em bounded}, a result that is of independent interest.
no code implementations • 7 Jun 2022 • Yeow Meng Chee, HUI ZHANG
Permutation codes were extensively studied in order to correct different types of errors for the applications on power line communication and rank modulation for flash memory.
no code implementations • CVPR 2022 • Xinke Li, Henghui Ding, Zekun Tong, Yuwei Wu, Yeow Meng Chee
Further study suggests that our strategy can improve the model performance by pretraining and fine-tuning scheme, especially for the dataset with a small scale.
2 code implementations • 25 Apr 2022 • Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Hongliang Guo, YueJiao Gong, Yeow Meng Chee
We present an efficient Neural Neighborhood Search (N2S) approach for pickup and delivery problems (PDPs).
no code implementations • 4 Mar 2021 • Yuncheng Wu, Tien Tuan Anh Dinh, Guoyu Hu, Meihui Zhang, Yeow Meng Chee, Beng Chin Ooi
Data scientists today have to manage the end-to-end ML life cycle that includes both model training and model serving, the latter of which is essential, as it makes their works available to end-users.
1 code implementation • 15 Oct 2019 • Kui Cai, Yeow Meng Chee, Ryan Gabrys, Han Mao Kiah, Tuan Thanh Nguyen
In this paper, we investigate codes that combat either a single indel or a single edit and provide linear-time algorithms that encode binary messages into these codes of length n. Over the quaternary alphabet, we provide two linear-time encoders.
Information Theory Information Theory