7 citations · 13 across the 8 of their papers we have counts for
3 papers · 1 filter
Enhancing Bayesian Optimization and Active Learning Through Kernel Diversity
Heng Zhang, Haotian Xiang, Konstantinos D. Polyzos +2
Hyperparameter selection remains a key challenge in Bayesian optimization (BO) and Bayesian active learning (AL), as model misspecification can lead to suboptimal performance, whil…
Online scalable Gaussian processes with conformal prediction for guaranteed coverage
Jinwen Xu, Qin Lu, Georgios B. Giannakis
The Gaussian process (GP) is a Bayesian nonparametric paradigm that is widely adopted for uncertainty quantification (UQ) in a number of safety-critical applications, including rob…
Weighted Ensembles for Active Learning with Adaptivity
Konstantinos D. Polyzos, Qin Lu, Georgios B. Giannakis
Labeled data can be expensive to acquire in several application domains, including medical imaging, robotics, and computer vision. To efficiently train machine learning models unde…