Xubo Yue

According to our database, Xubo Yue authored at least 14 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Self-Scalable Tanh (Stan): Multi-Scale Solutions for Physics-Informed Neural Networks.

Raghav Gnanasambandam, Bo Shen, Jihoon Chung, Xubo Yue, Zhenyu James Kong

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Collaborative and Distributed Bayesian Optimization via Consensus: Showcasing the Power of Collaboration for Optimal Design.

Xubo Yue, Raed Al Kontar, Albert S. Berahas, Yang Liu, Zhenghao Zai, Kevin Edgar, Blake N. Johnson

CoRR, 2023

2022

Federated Data Analytics: A Study on Linear Models.

Xubo Yue, Raed Al Kontar, Ana María Estrada Gómez

CoRR, 2022

Self-scalable Tanh (Stan): Faster Convergence and Better Generalization in Physics-informed Neural Networks.

Raghav Gnanasambandam, Bo Shen, Jihoon Chung, Xubo Yue, Zhenyu James Kong

CoRR, 2022

2021

Joint Models for Event Prediction From Time Series and Survival Data.

Xubo Yue, Raed Al Kontar

Technometrics, 2021

Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling.

Xubo Yue, Raed Al Kontar

CoRR, 2021

The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning.

Raed Kontar, Naichen Shi, Xubo Yue, Seokhyun Chung, Eunshin Byon, Mosharaf Chowdhury, Judy Jin, Wissam Kontar, Neda Masoud, Maher Nouiehed, Chinedum Emmanuel Okwudire, Garvesh Raskutti, Romesh Saigal, Karandeep Singh, Zhisheng Ye

CoRR, 2021

GIFAIR-FL: An Approach for Group and Individual Fairness in Federated Learning.

Xubo Yue, Maher Nouiehed, Raed Al Kontar

CoRR, 2021

The Internet of Federated Things (IoFT).

Raed Kontar, Naichen Shi, Xubo Yue, Seokhyun Chung, Eunshin Byon, Mosharaf Chowdhury, Jionghua Jin, Wissam Kontar, Neda Masoud, Maher Nouiehed, Chinedum Emmanuel Okwudire, Garvesh Raskutti, Romesh Saigal, Karandeep Singh, Zhi-Sheng Ye

IEEE Access, 2021

2020

SALR: Sharpness-aware Learning Rates for Improved Generalization.

Xubo Yue, Maher Nouiehed, Raed Al Kontar

CoRR, 2020

Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout.

Xubo Yue, Raed Al Kontar

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Lookahead Bayesian Optimization via Rollout: Guarantees and Sequential Rolling Horizons.

Xubo Yue, Raed Al Kontar

CoRR, 2019

The Rényi Gaussian Process.

Xubo Yue, Raed Kontar

CoRR, 2019

Variational Inference of Joint Models using Multivariate Gaussian Convolution Processes.

Xubo Yue, Raed Kontar

CoRR, 2019