Henry B. Moss

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 27

Top Topics

Gaussian Process

Top Venues

Publications

Henry B. Moss, Sebastian W. Ober, Victor Picheny
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation. AISTATS (2023)
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
Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow. CoRR (2023)
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
GAUCHE: A Library for Gaussian Processes in Chemistry. NeurIPS (2023)
Jixiang Qing, Henry B. Moss, Tom Dhaene, Ivo Couckuyt
ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization. AISTATS (2023)
Henry B. Moss, Sebastian W. Ober, Victor Picheny
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation. CoRR (2023)
Adam X. Yang, Laurence Aitchison, Henry B. Moss
MONGOOSE: Path-wise Smooth Bayesian Optimisation via Meta-learning. CoRR (2023)
Andrei Paleyes, Henry B. Moss, Victor Picheny, Piotr Zulawski, Felix Newman
A penalisation method for batch multi-objective Bayesian optimisation with application in heat exchanger design. CoRR (2022)
Ryan-Rhys Griffiths, Leo Klarner, Henry B. Moss, Aditya Ravuri, Sang Truong, Bojana Rankovic, Yuanqi Du, Arian Jamasb, Julius Schwartz, Austin Tripp, Gregory Kell, Anthony Bourached, Alex Chan, Jacob Moss, Chengzhi Guo, Alpha A. Lee, Philippe Schwaller, Jian Tang
GAUCHE: A Library for Gaussian Processes in Chemistry. CoRR (2022)
Jixiang Qing, Henry B. Moss, Tom Dhaene, Ivo Couckuyt
ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization Under Unknown Constraints. CoRR (2022)
Victor Picheny, Henry B. Moss, Léeonard Torossian, Nicolas Durrande
Bayesian quantile and expectile optimisation. UAI (2022)
Paul E. Chang, Prakhar Verma, St John, Victor Picheny, Henry B. Moss, Arno Solin
Fantasizing with Dual GPs in Bayesian Optimization and Active Learning. CoRR (2022)
Henry B. Moss, Sebastian W. Ober, Victor Picheny
Information-theoretic Inducing Point Placement for High-throughput Bayesian Optimisation. CoRR (2022)
Sattar Vakili, Henry B. Moss, Artem Artemev, Vincent Dutordoir, Victor Picheny
Scalable Thompson Sampling using Sparse Gaussian Process Models. NeurIPS (2021)
Henry B. Moss, David S. Leslie, Javier Gonzalez, Paul Rayson
GIBBON: General-purpose Information-Based Bayesian OptimisatioN. CoRR (2021)
Henry B. Moss, David S. Leslie, Javier Gonzalez, Paul Rayson
GIBBON: General-purpose Information-Based Bayesian Optimisation. J. Mach. Learn. Res. 22 (2021)
Henry B. Moss, David S. Leslie, Daniel Beck, Javier Gonzalez, Paul Rayson
BOSS: Bayesian Optimization over String Spaces. NeurIPS (2020)
Henry B. Moss, Ryan-Rhys Griffiths
Gaussian Process Molecule Property Prediction with FlowMO. CoRR (2020)
Henry B. Moss, David S. Leslie, Paul Rayson
MUMBO: MUlti-task Max-Value Bayesian Optimization. ECML/PKDD (3) (2020)
Henry B. Moss, Vatsal Aggarwal, Nishant Prateek, Javier González, Roberto Barra-Chicote
BOFFIN TTS: Few-Shot Speaker Adaptation by Bayesian Optimization. ICASSP (2020)
Henry B. Moss, Daniel Beck, Javier Gonzalez, David S. Leslie, Paul Rayson
BOSS: Bayesian Optimization over String Spaces. CoRR (2020)
Henry B. Moss, Vatsal Aggarwal, Nishant Prateek, Javier González, Roberto Barra-Chicote
BOFFIN TTS: Few-Shot Speaker Adaptation by Bayesian Optimization. CoRR (2020)
Henry B. Moss, David S. Leslie, Paul Rayson
BOSH: Bayesian Optimization by Sampling Hierarchically. CoRR (2020)
Henry B. Moss, David S. Leslie, Paul Rayson
MUMBO: MUlti-task Max-value Bayesian Optimization. CoRR (2020)
Henry B. Moss, Andrew Moore, David S. Leslie, Paul Rayson
FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms. ACL (1) (2019)
Henry B. Moss, Andrew Moore, David S. Leslie, Paul Rayson
FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms. CoRR (2019)
Henry B. Moss, David S. Leslie, Paul Rayson
Using J-K-fold Cross Validation To Reduce Variance When Tuning NLP Models. COLING (2018)
Henry B. Moss, David S. Leslie, Paul Rayson
Using J-K fold Cross Validation to Reduce Variance When Tuning NLP Models. CoRR (2018)