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Dr Henry Moss

Lecturer in Mathematics and AI, Research Student

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  1. 2020
  2. Published

    MUMBO: MUlti-task Max-value Bayesian Optimization

    Moss, H. B., Leslie, D. S. & Rayson, P., 14/09/2020, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Proceedings. Hutter, F., Kersting, K., Lijffijt, J. & Valera, I. (eds.). Cham: Springer, p. 447-462 16 p. (Lecture Notes in Computer Science; vol. 12459).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  3. 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

  4. 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/ISSN › Conference contribution/Paper › peer-review

  5. 2019
  6. 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/ISSN › Conference contribution/Paper › peer-review

  7. 2018
  8. Published

    Using JK-fold Cross Validation To Reduce Variance When Tuning NLP Models

    Moss, H., Leslie, D. & Rayson, P., 31/08/2018, Proceedings of the 27th International Conference on Computational Linguistics. Santa Fe: Association for Computational Linguistics, p. 2978-2989 12 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  9. 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/ISSN › Conference contribution/Paper › peer-review

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