1 citations · 1 across the 1 of their papers we have counts for
3 papers
stat.ML2026★ 1 cited
Surrogate modeling for Bayesian optimization beyond a single Gaussian process
Qin Lu, Konstantinos D. Polyzos, Bingcong Li +1
Bayesian optimization (BO) has well-documented merits for optimizing black-box functions with an expensive evaluation cost. Such functions emerge in applications as diverse as hype…
eess.SP2025
Deploying AI for Signal Processing education: Selected challenges and intriguing opportunities
Jarvis Haupt, Qin Lu, Yanning Shen +5
Powerful artificial intelligence (AI) tools that have emerged in recent years -- including large language models, automated coding assistants, and advanced image and speech generat…
cs.LG2024
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…