1 code implementation • 3 Jun 2022 • Hengrui Luo, Younghyun Cho, James W. Demmel, Xiaoye S. Li, Yang Liu
This paper presents a new type of hybrid model for Bayesian optimization (BO) adept at managing mixed variables, encompassing both quantitative (continuous and integer) and qualitative (categorical) types.
1 code implementation • 15 Sep 2021 • Hengrui Luo, James W. Demmel, Younghyun Cho, Xiaoye S. Li, Yang Liu
By using this surrogate model, we want to capture the non-smoothness of the black-box function.
1 code implementation • 18 Sep 2020 • Santosh Pandey, Lingda Li, Adolfy Hoisie, Xiaoye S. Li, Hang Liu
In this paper, we propose, to the best of our knowledge, the first GPU-based framework for graph sampling/random walk.
Graph Sampling Distributed, Parallel, and Cluster Computing
no code implementations • 15 Aug 2019 • Wissam M. Sid-Lakhdar, Mohsen Mahmoudi Aznaveh, Xiaoye S. Li, James W. Demmel
Multitask learning and transfer learning have proven to be useful in the field of machine learning when additional knowledge is available to help a prediction task.
no code implementations • 1 Nov 2018 • Hongyuan Zhan, Gabriel Gomes, Xiaoye S. Li, Kamesh Madduri, Kesheng Wu
Computational efficiency is an important consideration for deploying machine learning models for time series prediction in an online setting.