Separating musical sources with convolutional sparse coding. - Mohit L. Dubey; Haydn Thomas Jones; Austin Thresher; Garrett T. Kenyon (APPIS, 2019)

Local Latent Space Bayesian Optimization over Structured Inputs. - Natalie Maus; Haydn Thomas Jones; Juston Moore; Matt J. Kusner; John Bradshaw; Jacob R. Gardner (NeurIPS, 2022)

If you've trained one you've trained them all: inter-architecture similarity increases with robustness. - Haydn Thomas Jones; Jacob M. Springer; Garrett T. Kenyon; Juston S. Moore (UAI, 2022)

Large-Scale Gaussian Processes via Alternating Projection. - Kaiwen Wu; Jonathan Wenger; Haydn Thomas Jones; Geoff Pleiss; Jacob R. Gardner (AISTATS, 2024)

Bound Tightening Using Rolling-Horizon Decomposition for Neural Network Verification. - Haoruo Zhao; Hassan L. Hijazi; Haydn Thomas Jones; Juston Moore; Mathieu Tanneau; Pascal Van Hentenryck (CPAIOR (2), 2024)

Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization. - Natalie Maus; Kyurae Kim; Yimeng Zeng; Haydn Thomas Jones; Fangping Wan; Marcelo Der Torossian Torres; Cesar de la Fuente-Nunez; Jacob R. Gardner (CoRR, 2025)

Large Scale Multi-Task Bayesian Optimization with Large Language Models. - Yimeng Zeng; Natalie Maus; Haydn Thomas Jones; Jeffrey Tao; Fangping Wan; Marcelo Der Torossian Torres; Cesar de la Fuente-Nunez; Ryan Marcus; Osbert Bastani; Jacob R. Gardner (CoRR, 2025)

Learned Offline Query Planning via Bayesian Optimization. - Jeffrey Tao; Natalie Maus; Haydn Thomas Jones; Yimeng Zeng; Jacob R. Gardner; Ryan Marcus (Proc. ACM Manag. Data, 2025)