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Henry Moss

Research student

  1. 2021
  2. Published

    GIBBON: General-purpose Information-Based Bayesian Optimisation

    Moss, H. B., Leslie, D. S., Gonzalez, J. & Rayson, P., 8/10/2021, In: Journal of Machine Learning Research. 22, 235, p. 1-49 49 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. Published

    General-purpose Information-theoretical Bayesian Optimisation: A thesis by acronyms

    Moss, H., 2021, Lancaster University. 213 p.

    Research output: ThesisDoctoral Thesis

  4. 2020
  5. Published

    BOSS: Bayesian Optimization over String Spaces

    Moss, H., Beck, D., Gonzalez, J., Leslie, D. & Rayson, P., 1/12/2020, Advances in Neural Information Processing Systems. 2020 ed. MIT Press

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  6. Published

    MUMBO: MUlti-task Max-value Bayesian Optimization

    Moss, H. B., Leslie, D. S. & Rayson, P., 14/09/2020, achine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Proceedings. Springer, p. 447-462 16 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  7. Published

    BOSH: Bayesian Optimization by Sampling Hierarchically

    Moss, H. B., Leslie, D. S. & Rayson, P., 18/07/2020. 8 p.

    Research output: Contribution to conference - Without ISBN/ISSN Conference paper

  8. Published

    BOFFIN TTS: Few-Shot Speaker Adaptation by Bayesian Optimization

    Moss, H., Aggarwal, V., Prateek, N., González , J. & Barra-Chicote, R., 14/05/2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2020 ed. IEEE, p. 7639-7643 5 p. (ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP); vol. 2020).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  9. 2019
  10. Published

    FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms

    Moss, H. B., Moore, A., Leslie, D. S. & Rayson, P., 30/07/2019, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Stroudsburg PA: Association for Computational Linguistics, p. 2920-2930 11 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  11. 2018
  12. E-pub ahead of print

    Using J-K-fold Cross Validation to Reduce Variance When Tuning NLP Models

    Moss, H., Leslie, D. S. & Rayson, P. E., 06/2018, (E-pub ahead of print) Proceedings of COLING 2018. Association for Computational Linguistics (ACL Anthology), p. 2978–2989 12 p. (Proceedings of COLING 2018).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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