Items where Author is "Moss, Henry"

Journal Article

Rouse, Rober and Moss, Henry and Scott Hosking, J. and McRobie, Allan and Shuckburgh, Emily (2025) Reflective error : a metric for assessing predictive performance at extreme events. Environmental Data Science, 4: e26.

Contribution in Book/Report/Proceedings

Ober, Sebastian W and Power, Samuel and Diethe, Tom and Moss, Henry (2024) Big Batch Bayesian Active Learning by Considering Predictive Probabilities. In: Workshop on Bayesian Decision-making and Uncertainty, 38th Conference on Neural Information Processing Systems (NeurIPS 2024). :. UNSPECIFIED.

Griffiths, Ryan-Rhys and Klarner, Leo and Moss, Henry and Ravuri, Aditya and Truong, Sang and Du, Yuanqi and Stanton, Samuel and Tom, Gary and Rankovic, Bojana and Jamasb, Arian (2024) GAUCHE : a library for Gaussian processes in chemistry. In: NeurIPS Proceedings 2024 :. Advances in Neural Information Processing Systems . UNSPECIFIED.

Picheny, Victor and Moss, Henry and Torossian, Léonard and Durrande, Nicolas (2022) Bayesian quantile and expectile optimisation. In: Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence (UAI 2022), :. PMLR, pp. 1623-1633.

Vakili, Sattar and Moss, Henry and Artemev, Artem and Dutordoir, Vincent and Picheny, Victor (2021) Scalable Thompson sampling using sparse Gaussian process models. In: Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021 :. Advances in Neural Information Processing Systems, 34 . UNSPECIFIED, pp. 5631-5643. ISBN 9781713845393

Moss, Henry and Beck, Daniel and Gonzalez, Javier and Leslie, David and Rayson, Paul (2020) BOSS: Bayesian Optimization over String Spaces. In: Advances in Neural Information Processing Systems :. Advances in Neural Information Processing Systems, 2020-D (2020). MIT Press, CAN, pp. 15476-15486. ISBN 9780262042062

Moss, Henry and Aggarwal, Vatsal and Prateek, Nishant and González, Javier and Barra-Chicote, Roberto (2020) BOFFIN TTS : Few-Shot Speaker Adaptation by Bayesian Optimization. In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) :. ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2020). IEEE, pp. 7639-7643. ISBN 9781509066322

Moss, Henry and Leslie, David and Rayson, Paul (2018) Using JK-fold Cross Validation To Reduce Variance When Tuning NLP Models. In: Proceedings of the 27th International Conference on Computational Linguistics :. Association for Computational Linguistics, USA, pp. 2978-2989.

Moss, Henry and Leslie, David Stuart and Rayson, Paul Edward (2018) Using J-K-fold Cross Validation to Reduce Variance When Tuning NLP Models. In: Proceedings of COLING 2018 :. Proceedings of COLING 2018 . Association for Computational Linguistics (ACL Anthology), USA, 2978–2989.

Monograph

Zhang, Rui-Yang and Moss, Henry and Astfalck, Lachlan and Cripps, Edward and Leslie, David (2025) BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields. Working Paper. UNSPECIFIED.

Contribution to Conference

Moss, Henry and Steinert, Tim and Ginsbourger, David and Lykke-Moller, August and Christiansen, Ove (2025) Integration-free Kernels for Equivariant Gaussian Process Modelling. In: International Conference on Machine Learning, 2025-07-07, Canada.

Moss, Henry (2025) Return of the Latent Space COWBOYS : Re-thinking the use of VAEs for Bayesian Optimisation of Structured Spaces. In: International Conference on Machine Learning, 2025-07-07, Canada.

Moss, Henry and Nath, Pritthijit and Shuckburgh, Emily and Webb, mark (2024) Towards improving weather and climate models using reinforcement learning. In: American Geophysical Union Fall Meeting, 2024-12-01.

Moss, Henry and Picheny, Victor and Stojic, Hrvoje and Ober, Sebastian W and Artemev, Artem and Paleyes, Andrei and Vakili, Sattar and Markou, Stratis and Qing, Jixiang and Loka, Nasrulloh Ratu Bagus Satrio (2024) Trieste : Efficiently Exploring The Depths of Black-box Functions with TensorFlow. In: NeurIPS 2024 Workshop BDU, 2024-12-14 - 2024-12-14.

Steinert, Tim and Ginsbourger, David and Lykke-Møller, August Smart and Christiansen, Ove and Moss, Henry (2024) Integration-free kernels for equivariant Gaussian fields with application in dipole moment prediction. In: NeurIPS 2024 Workshop BDU, 2024-12-14 - 2024-12-14.

Thomas, Simon and Jones, Dani and Mayo, Talea and Taylor, John and Moss, Henry and Munday, Dave and Haigh, Ivan D (2024) Finding the potential height of storm surges in a changing climate using Bayesian optimization. In: EGU General Assembly 2024, 2024-04-14 - 2024-04-19, Austria Center Vienna.

Thesis

Moss, Henry and Rayson, Paul and Leslie, David (2021) General-purpose Information-theoretical Bayesian Optimisation : A thesis by acronyms. PhD thesis, Lancaster University.

Patent

Cowley, William (2025) Engine control unit calibration. .

Other

Morrison, Neil and Greyling, Ellen and Hardy, John and Rennie, Allan and Lambert, Chris and Abram, Tom and Jay, Jessica and Moss, Henry and Muñiz-Diez, Clara and Piazza, Jared and Karkarey, Rucha and Appleby, John (2025) Science on tap across Lancaster and Morecambe with Pint of Science. Lancaster University, Lancaster.