Toby Boyne

According to our database, Toby Boyne authored at least 3 papers in 2025.

Collaborative distances:

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

2025

The Catechol Benchmark: Time-series Solvent Selection Data for Few-shot Machine Learning.

Toby Boyne, Juan S. Campos, Becky D. Langdon, Jixiang Qing, Yilin Xie, Shiqiang Zhang, Calvin Tsay, Ruth Misener, Daniel W. Davies, Kim E. Jelfs, Sarah Boyall, Thomas M. Dixon, Linden Schrecker, Jose Pablo Folch

CoRR, June, 2025

BoFire: Bayesian Optimization Framework Intended for Real Experiments.

Johannes P. Dürholt, Thomas S. Asche, Johanna Kleinekorte, Gabriel Mancino-Ball, Benjamin Schiller, Simon Sung, Julian Keupp, Aaron Osburg, Toby Boyne, Ruth Misener, Rosona Eldred, Chrysoula Kappatou, Robert M. Lee, Dominik Linzner, Wagner Steuer Costa, David Walz, Niklas Wulkow, Behrang Shafei

J. Mach. Learn. Res., 2025

BARK: A Fully Bayesian Tree Kernel for Black-box Optimization.

Toby Boyne, Jose Pablo Folch, Robert M. Lee, Behrang Shafei, Ruth Misener

Proceedings of the Forty-second International Conference on Machine Learning, 2025