Items where Author is "Moss, Henry"

Contribution in Book/Report/Proceedings

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.

Thesis

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