Our UQ@UH Lab proudly made its debut at NeurIPS 2024—the world’s premier conference for artificial intelligence—in Vancouver, Canada.
Our research on Gaussian Process Thompson Sampling via Rootfinding, led by Taiwo Adebiyi, Dr. Bach Do, and Dr. Ruda Zhang, was honored with a contributed oral presentation at the Bayesian Decision-making and Uncertainty (BDU) workshop, placing it among the top 5% of accepted papers.
Taiwo Adebiyi, selected as one of only 17 scholars funded by Google and Meta, led the poster presentation, and engaged with leading experts in Bayesian optimization. Dr. Zhang delivered a well-received oral presentation, showcasing the significance of our findings.
The BDU workshop provided an invaluable platform to engage with global thought leaders, gather insightful feedback, and explore future directions for our research. Exciting developments lie ahead as we continue to push the boundaries of uncertainty quantification and Bayesian optimization!
You can find our presented work on 📄 arXiv and on 💻 GitHub.
Stay tuned for more great work from our team!