Henry B. Moss

According to our database, Henry B. Moss authored at least 20 papers between 2018 and 2023.

Collaborative distances:

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

2023

MONGOOSE: Path-wise Smooth Bayesian Optimisation via Meta-learning.

Adam X. Yang, Laurence Aitchison, Henry B. Moss

CoRR, 2023

Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow.

Victor Picheny, Joel Berkeley, Henry B. Moss, Hrvoje Stojic, Uri Granta, Sebastian W. Ober, Artem Artemev, Khurram Ghani, Alexander Goodall, Andrei Paleyes, Sattar Vakili, Sergio Pascual-Diaz, Stratis Markou, Jixiang Qing, Nasrulloh R. B. S. Loka, Ivo Couckuyt

CoRR, 2023

GAUCHE: A Library for Gaussian Processes in Chemistry.

Ryan-Rhys Griffiths, Leo Klarner, Henry B. Moss, Aditya Ravuri, Sang Truong, Yuanqi Du, Samuel Stanton, Gary Tom, Bojana Rankovic, Arian Rokkum Jamasb, Aryan Deshwal, Julius Schwartz, Austin Tripp, Gregory Kell, Simon Frieder, Anthony Bourached, Alex Chan, Jacob Moss, Chengzhi Guo, Johannes Peter Dürholt, Saudamini Chaurasia, Ji Won Park, Felix Strieth-Kalthoff, Alpha A. Lee, Bingqing Cheng, Alán Aspuru-Guzik, Philippe Schwaller, Jian Tang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PF²ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization.

Jixiang Qing, Henry B. Moss, Tom Dhaene, Ivo Couckuyt

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation.

Henry B. Moss, Sebastian W. Ober, Victor Picheny

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

GAUCHE: A Library for Gaussian Processes in Chemistry.

Ryan-Rhys Griffiths, Leo Klarner, Henry B. Moss, Aditya Ravuri, Sang Truong, Bojana Rankovic, Yuanqi Du, Arian R. Jamasb, Julius Schwartz, Austin Tripp, Gregory Kell, Anthony Bourached, Alex Chan, Jacob Moss, Chengzhi Guo, Alpha A. Lee, Philippe Schwaller, Jian Tang

CoRR, 2022

Fantasizing with Dual GPs in Bayesian Optimization and Active Learning.

Paul E. Chang, Prakhar Verma, S. T. John, Victor Picheny, Henry B. Moss, Arno Solin

CoRR, 2022

A penalisation method for batch multi-objective Bayesian optimisation with application in heat exchanger design.

Andrei Paleyes, Henry B. Moss, Victor Picheny, Piotr Zulawski, Felix Newman

CoRR, 2022

Information-theoretic Inducing Point Placement for High-throughput Bayesian Optimisation.

Henry B. Moss, Sebastian W. Ober, Victor Picheny

CoRR, 2022

PF²ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization Under Unknown Constraints.

Jixiang Qing, Henry B. Moss, Tom Dhaene, Ivo Couckuyt

CoRR, 2022

Bayesian quantile and expectile optimisation.

Victor Picheny, Henry B. Moss, Léeonard Torossian, Nicolas Durrande

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021

GIBBON: General-purpose Information-Based Bayesian Optimisation.

Henry B. Moss, David S. Leslie, Javier Gonzalez, Paul Rayson

J. Mach. Learn. Res., 2021

Scalable Thompson Sampling using Sparse Gaussian Process Models.

Sattar Vakili, Henry B. Moss, Artem Artemev, Vincent Dutordoir, Victor Picheny

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Gaussian Process Molecule Property Prediction with FlowMO.

Henry B. Moss, Ryan-Rhys Griffiths

CoRR, 2020

BOSH: Bayesian Optimization by Sampling Hierarchically.

Henry B. Moss, David S. Leslie, Paul Rayson

CoRR, 2020

MUMBO: MUlti-task Max-Value Bayesian Optimization.

Henry B. Moss, David S. Leslie, Paul Rayson

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

BOSS: Bayesian Optimization over String Spaces.

Henry B. Moss, David S. Leslie, Daniel Beck, Javier Gonzalez, Paul Rayson

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

BOFFIN TTS: Few-Shot Speaker Adaptation by Bayesian Optimization.

Henry B. Moss, Vatsal Aggarwal, Nishant Prateek, Javier González, Roberto Barra-Chicote

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms.

Henry B. Moss, Andrew Moore, David S. Leslie, Paul Rayson

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Using J-K-fold Cross Validation To Reduce Variance When Tuning NLP Models.

Henry B. Moss, David S. Leslie, Paul Rayson

Proceedings of the 27th International Conference on Computational Linguistics, 2018