Henry B. Moss - RankMe

34 papers A* 4A 3B 1Misc 1Journal 23Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields. CoRR Rui-Yang Zhang, Henry B. Moss, Lachlan Astfalck, Edward Cripps, David S. Leslie
2025	J	`jnl`	Big Batch Bayesian Active Learning by Considering Predictive Probabilities. CoRR Sebastian W. Ober, Samuel Power, Tom Diethe, Henry B. Moss
2025	J	`jnl`	Omnipresent Yet Overlooked: Heat Kernels in Combinatorial Bayesian Optimization. CoRR Colin Doumont, Victor Picheny, Viacheslav Borovitskiy, Henry B. Moss
2025	A*	`conf`	Return of the Latent Space COWBOYS: Re-thinking the use of VAEs for Bayesian Optimisation of Structured Spaces. ICML Henry B. Moss, Sebastian W. Ober, Tom Diethe
2025	J	`jnl`	Return of the Latent Space COWBOYS: Re-thinking the use of VAEs for Bayesian Optimisation of Structured Spaces. CoRR Henry B. Moss, Sebastian W. Ober, Tom Diethe
2025	J	`jnl`	We Still Don't Understand High-Dimensional Bayesian Optimization. CoRR Colin Doumont, Donney Fan, Natalie Maus, Jacob R. Gardner, Henry B. Moss, Geoff Pleiss
2023	A*	`conf`	GAUCHE: A Library for Gaussian Processes in Chemistry. NeurIPS 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
2023	A	`conf`	Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation. AISTATS Henry B. Moss, Sebastian W. Ober, Victor Picheny
2023	J	`jnl`	Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation. CoRR Henry B. Moss, Sebastian W. Ober, Victor Picheny
2023	J	`jnl`	MONGOOSE: Path-wise Smooth Bayesian Optimisation via Meta-learning. CoRR Adam X. Yang, Laurence Aitchison, Henry B. Moss
2023	A	`conf`	PF AISTATS Jixiang Qing, Henry B. Moss, Tom Dhaene, Ivo Couckuyt
2023	J	`jnl`	Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow. CoRR 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
2022	J	`jnl`	A penalisation method for batch multi-objective Bayesian optimisation with application in heat exchanger design. CoRR Andrei Paleyes, Henry B. Moss, Victor Picheny, Piotr Zulawski, Felix Newman
2022	A	`conf`	Bayesian quantile and expectile optimisation. UAI Victor Picheny, Henry B. Moss, Léeonard Torossian, Nicolas Durrande
2022	J	`jnl`	Fantasizing with Dual GPs in Bayesian Optimization and Active Learning. CoRR Paul E. Chang, Prakhar Verma, S. T. John, Victor Picheny, Henry B. Moss, Arno Solin
2022	J	`jnl`	GAUCHE: A Library for Gaussian Processes in Chemistry. CoRR 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
2022	J	`jnl`	Information-theoretic Inducing Point Placement for High-throughput Bayesian Optimisation. CoRR Henry B. Moss, Sebastian W. Ober, Victor Picheny
2022	J	`jnl`	PF CoRR Jixiang Qing, Henry B. Moss, Tom Dhaene, Ivo Couckuyt
2021	J	`jnl`	GIBBON: General-purpose Information-Based Bayesian OptimisatioN. CoRR Henry B. Moss, David S. Leslie, Javier González, Paul Rayson
2021	J	`jnl`	GIBBON: General-purpose Information-Based Bayesian Optimisation. J. Mach. Learn. Res. Henry B. Moss, David S. Leslie, Javier González, Paul Rayson
2021	A*	`conf`	Scalable Thompson Sampling using Sparse Gaussian Process Models. NeurIPS Sattar Vakili, Henry B. Moss, Artem Artemev, Vincent Dutordoir, Victor Picheny
2020	Misc	`conf`	BOFFIN TTS: Few-Shot Speaker Adaptation by Bayesian Optimization. ICASSP Henry B. Moss, Vatsal Aggarwal, Nishant Prateek, Javier González, Roberto Barra-Chicote
2020	J	`jnl`	BOFFIN TTS: Few-Shot Speaker Adaptation by Bayesian Optimization. CoRR Henry B. Moss, Vatsal Aggarwal, Nishant Prateek, Javier González, Roberto Barra-Chicote
2020	J	`jnl`	BOSH: Bayesian Optimization by Sampling Hierarchically. CoRR Henry B. Moss, David S. Leslie, Paul Rayson
2020	A*	`conf`	BOSS: Bayesian Optimization over String Spaces. NeurIPS Henry B. Moss, David S. Leslie, Daniel Beck, Javier González, Paul Rayson
2020	J	`jnl`	BOSS: Bayesian Optimization over String Spaces. CoRR Henry B. Moss, Daniel Beck, Javier González, David S. Leslie, Paul Rayson
2020	J	`jnl`	Gaussian Process Molecule Property Prediction with FlowMO. CoRR Henry B. Moss, Ryan-Rhys Griffiths
2020	—	`conf`	MUMBO: MUlti-task Max-Value Bayesian Optimization. ECML/PKDD (3) Henry B. Moss, David S. Leslie, Paul Rayson
2020	J	`jnl`	MUMBO: MUlti-task Max-value Bayesian Optimization. CoRR Henry B. Moss, David S. Leslie, Paul Rayson
2020	J	`jnl`	Scalable Thompson Sampling using Sparse Gaussian Process Models. CoRR Sattar Vakili, Henry B. Moss, Victor Picheny, Vincent Dutordoir, Artem Artemev
2019	—	`conf`	FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms. ACL (1) Henry B. Moss, Andrew Moore, David S. Leslie, Paul Rayson
2019	J	`jnl`	FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms. CoRR Henry B. Moss, Andrew Moore, David S. Leslie, Paul Rayson
2018	J	`jnl`	Using J-K fold Cross Validation to Reduce Variance When Tuning NLP Models. CoRR Henry B. Moss, David S. Leslie, Paul Rayson
2018	B	`conf`	Using J-K-fold Cross Validation To Reduce Variance When Tuning NLP Models. COLING Henry B. Moss, David S. Leslie, Paul Rayson