Haydn Thomas Jones

14 papers A* 1A 2Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adversarial Query Synthesis via Bayesian Optimization. CoRR Jeffrey Tao, Yimeng Zeng, Haydn Thomas Jones, Natalie Maus, Osbert Bastani, Jacob R. Gardner, Ryan Marcus
2026	J	`jnl`	Purely Agentic Black-Box Optimization for Biological Design. CoRR Natalie Maus, Yimeng Zeng, Haydn Thomas Jones, Yining Huang, Gaurav Ng Goel, Alden Rose, Kyurae Kim, Hyun-Su Lee, Marcelo Der Torossian Torres, Fangping Wan, Cesar de la Fuente-Nunez, Mark Yatskar, Osbert Bastani, Jacob R. Gardner
2025	J	`jnl`	A Dataset for Distilling Knowledge Priors from Literature for Therapeutic Design. CoRR Haydn Thomas Jones, Natalie Maus, Josh Magnus Ludan, Maggie Ziyu Huan, Jiaming Liang, Marcelo Der Torossian Torres, Jiatao Liang, Zachary G. Ives, Yoseph Barash, Cesar de la Fuente-Nunez, Jacob R. Gardner, Mark Yatskar
2025	J	`jnl`	Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization. CoRR Natalie Maus, Kyurae Kim, Yimeng Zeng, Haydn Thomas Jones, Fangping Wan, Marcelo Der Torossian Torres, Cesar de la Fuente-Nunez, Jacob R. Gardner
2025	J	`jnl`	Large Scale Multi-Task Bayesian Optimization with Large Language Models. CoRR 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
2025	J	`jnl`	Learned Offline Query Planning via Bayesian Optimization. CoRR Jeffrey Tao, Natalie Maus, Haydn Thomas Jones, Yimeng Zeng, Jacob R. Gardner, Ryan Marcus
2025	J	`jnl`	Learned Offline Query Planning via Bayesian Optimization. Proc. ACM Manag. Data Jeffrey Tao, Natalie Maus, Haydn Thomas Jones, Yimeng Zeng, Jacob R. Gardner, Ryan Marcus
2024	—	`conf`	Bound Tightening Using Rolling-Horizon Decomposition for Neural Network Verification. CPAIOR (2) Haoruo Zhao, Hassan L. Hijazi, Haydn Thomas Jones, Juston Moore, Mathieu Tanneau, Pascal Van Hentenryck
2024	A	`conf`	Large-Scale Gaussian Processes via Alternating Projection. AISTATS Kaiwen Wu, Jonathan Wenger, Haydn Thomas Jones, Geoff Pleiss, Jacob R. Gardner
2023	J	`jnl`	Large-Scale Gaussian Processes via Alternating Projection. CoRR Kaiwen Wu, Jonathan Wenger, Haydn Thomas Jones, Geoff Pleiss, Jacob R. Gardner
2022	A	`conf`	If you've trained one you've trained them all: inter-architecture similarity increases with robustness. UAI Haydn Thomas Jones, Jacob M. Springer, Garrett T. Kenyon, Juston S. Moore
2022	A*	`conf`	Local Latent Space Bayesian Optimization over Structured Inputs. NeurIPS Natalie Maus, Haydn Thomas Jones, Juston Moore, Matt J. Kusner, John Bradshaw, Jacob R. Gardner
2022	J	`jnl`	Local Latent Space Bayesian Optimization over Structured Inputs. CoRR Natalie Maus, Haydn Thomas Jones, Juston S. Moore, Matt J. Kusner, John Bradshaw, Jacob R. Gardner
2019	—	`conf`	Separating musical sources with convolutional sparse coding. APPIS Mohit L. Dubey, Haydn Thomas Jones, Austin Thresher, Garrett T. Kenyon