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ORCIDHenry B. Moss
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2020 – today
- 2023
[c10]Jixiang Qing, Henry B. Moss, Tom Dhaene, Ivo Couckuyt:
PF2ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization. AISTATS 2023: 2565-2588- [c9]Henry B. Moss, Sebastian W. Ober, Victor Picheny:
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation. AISTATS 2023: 5213-5230 - [c8]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 - [i16]Henry B. Moss, Sebastian W. Ober, Victor Picheny:
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation. CoRR abs/2301.10123 (2023) - [i15]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 abs/2302.08436 (2023) - [i14]Adam X. Yang, Laurence Aitchison, Henry B. Moss:
MONGOOSE: Path-wise Smooth Bayesian Optimisation via Meta-learning. CoRR abs/2302.11533 (2023) - 2022
- [c7]Victor Picheny, Henry B. Moss, Léeonard Torossian, Nicolas Durrande:
Bayesian quantile and expectile optimisation. UAI 2022: 1623-1633 - [i13]Jixiang Qing, Henry B. Moss, Tom Dhaene, Ivo Couckuyt:
PF2ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization Under Unknown Constraints. CoRR abs/2204.05411 (2022) - [i12]Henry B. Moss, Sebastian W. Ober, Victor Picheny:
Information-theoretic Inducing Point Placement for High-throughput Bayesian Optimisation. CoRR abs/2206.02437 (2022) - [i11]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 abs/2206.13326 (2022) - [i10]Paul E. Chang, Prakhar Verma, S. T. John, Victor Picheny, Henry B. Moss, Arno Solin:
Fantasizing with Dual GPs in Bayesian Optimization and Active Learning. CoRR abs/2211.01053 (2022) - [i9]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:
GAUCHE: A Library for Gaussian Processes in Chemistry. CoRR abs/2212.04450 (2022) - 2021
- [j1]Henry B. Moss, David S. Leslie, Javier Gonzalez, Paul Rayson:
GIBBON: General-purpose Information-Based Bayesian Optimisation. J. Mach. Learn. Res. 22: 235:1-235:49 (2021) - [c6]Sattar Vakili, Henry B. Moss, Artem Artemev, Vincent Dutordoir, Victor Picheny:
Scalable Thompson Sampling using Sparse Gaussian Process Models. NeurIPS 2021: 5631-5643 - [i8]Henry B. Moss, David S. Leslie, Javier Gonzalez, Paul Rayson:
GIBBON: General-purpose Information-Based Bayesian OptimisatioN. CoRR abs/2102.03324 (2021) - 2020
- [c5]Henry B. Moss, Vatsal Aggarwal, Nishant Prateek, Javier González, Roberto Barra-Chicote:
BOFFIN TTS: Few-Shot Speaker Adaptation by Bayesian Optimization. ICASSP 2020: 7639-7643 - [c4]Henry B. Moss, David S. Leslie, Daniel Beck, Javier Gonzalez, Paul Rayson:
BOSS: Bayesian Optimization over String Spaces. NeurIPS 2020 - [c3]Henry B. Moss, David S. Leslie, Paul Rayson:
MUMBO: MUlti-task Max-Value Bayesian Optimization. ECML/PKDD (3) 2020: 447-462 - [i7]Henry B. Moss, Vatsal Aggarwal, Nishant Prateek, Javier González, Roberto Barra-Chicote:
BOFFIN TTS: Few-Shot Speaker Adaptation by Bayesian Optimization. CoRR abs/2002.01953 (2020) - [i6]Henry B. Moss, David S. Leslie, Paul Rayson:
MUMBO: MUlti-task Max-value Bayesian Optimization. CoRR abs/2006.12093 (2020) - [i5]Henry B. Moss, David S. Leslie, Paul Rayson:
BOSH: Bayesian Optimization by Sampling Hierarchically. CoRR abs/2007.00939 (2020) - [i4]Henry B. Moss, Daniel Beck, Javier Gonzalez, David S. Leslie, Paul Rayson:
BOSS: Bayesian Optimization over String Spaces. CoRR abs/2010.00979 (2020) - [i3]Henry B. Moss, Ryan-Rhys Griffiths:
Gaussian Process Molecule Property Prediction with FlowMO. CoRR abs/2010.01118 (2020)
2010 – 2019
- 2019
- [c2]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: 2920-2930 - [i2]Henry B. Moss, Andrew Moore, David S. Leslie, Paul Rayson:
FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms. CoRR abs/1906.12230 (2019) - 2018
- [c1]Henry B. Moss, David S. Leslie, Paul Rayson:
Using J-K-fold Cross Validation To Reduce Variance When Tuning NLP Models. COLING 2018: 2978-2989 - [i1]Henry B. Moss, David S. Leslie, Paul Rayson:
Using J-K fold Cross Validation to Reduce Variance When Tuning NLP Models. CoRR abs/1806.07139 (2018)
Coauthor Index
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