Zhao, Guang

6 publications

ICLR 2025 Pareto Prompt Optimization Guang Zhao, Byung-Jun Yoon, Gilchan Park, Shantenu Jha, Shinjae Yoo, Xiaoning Qian

ICML 2025 SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields David Keetae Park, Xihaier Luo, Guang Zhao, Seungjun Lee, Miruna Oprescu, Shinjae Yoo

AISTATS 2021 Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty Guang Zhao, Edward Dougherty, Byung-Jun Yoon, Francis J. Alexander, Xiaoning Qian

NeurIPS 2021 Efficient Active Learning for Gaussian Process Classification by Error Reduction Guang Zhao, Edward Dougherty, Byung-Jun Yoon, Francis Alexander, Xiaoning Qian

ICLR 2021 Uncertainty-Aware Active Learning for Optimal Bayesian Classifier Guang Zhao, Edward Dougherty, Byung-Jun Yoon, Francis Alexander, Xiaoning Qian

AISTATS 2019 Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models Randy Ardywibowo, Guang Zhao, Zhangyang Wang, Bobak Mortazavi, Shuai Huang, Xiaoning Qian