1 code implementation • 21 Feb 2024 • Jiayu Chen, Bhargav Ganguly, Yang Xu, Yongsheng Mei, Tian Lan, Vaneet Aggarwal
This work offers a hands-on reference for the research progress in deep generative models for offline policy learning, and aims to inspire improved DGM-based offline RL or IL algorithms.
no code implementations • 25 Jan 2024 • Yongsheng Mei, Mahdi Imani, Tian Lan
Bayesian optimization (BO) has established itself as a leading strategy for efficiently optimizing expensive-to-evaluate functions.
no code implementations • 12 Dec 2023 • Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Gina Adam, Nathaniel D. Bastian, Tian Lan
Many cybersecurity problems that require real-time decision-making based on temporal observations can be abstracted as a sequence modeling problem, e. g., network intrusion detection from a sequence of arriving packets.
no code implementations • 21 Feb 2023 • Yongsheng Mei, Hanhan Zhou, Tian Lan, Guru Venkataramani, Peng Wei
To this end, we propose MAC-PO, which formulates optimal prioritized experience replay for multi-agent problems as a regret minimization over the sampling weights of transitions.
no code implementations • 11 Feb 2023 • Yongsheng Mei, Hanhan Zhou, Tian Lan
Such an optimization problem can be relaxed and solved using the Lagrangian multiplier method to obtain the close-form optimal projection weights.
1 code implementation • 6 Feb 2023 • Yongsheng Mei, Guru Venkataramani, Tian Lan
Our experimental results on the Multi-modal Brain Tumor Segmentation Challenge (BraTS) datasets outperform those of state-of-the-art segmentation baselines, with validation Dice similarity coefficients of 0. 920, 0. 897, 0. 837 for the whole tumor, tumor core, and enhancing tumor on BraTS-2020.
1 code implementation • 13 Oct 2022 • Yongsheng Mei, Tian Lan, Mahdi Imani, Suresh Subramaniam
This joint distribution is used in the body of the BO acquisition functions to search for local optima during the optimization process.
no code implementations • 1 Nov 2019 • Hongfa Xue, Yongsheng Mei, Kailash Gogineni, Guru Venkataramani, Tian Lan
Detecting code clones is crucial in various software engineering tasks.