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Results for cs.LG

Publications & Outputs

  1. DL-Reg: A Deep Learning Regularization Technique using Linear Regression

    Dialameh, M., Hamzeh, A. & Rahmani, H., 31/10/2020, In: arXiv.

    Research output: Contribution to journal › Journal article

  2. Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages

    Nekoto, W., Marivate, V., Matsila, T., Fasubaa, T., Kolawole, T., Fagbohungbe, T., Akinola, S. O., Muhammad, S. H., Kabongo, S., Osei, S., Freshia, S., Niyongabo, R. A., Macharm, R., Ogayo, P., Ahia, O., Meressa, M., Adeyemi, M., Mokgesi-Selinga, M., Okegbemi, L., Martinus, L. J. & 28 others, Tajudeen, K., Degila, K., Ogueji, K., Siminyu, K., Kreutzer, J., Webster, J., Ali, J. T., Abbott, J., Orife, I., Ezeani, I., Dangana, I. A., Kamper, H., Elsahar, H., Duru, G., Kioko, G., Murhabazi, E., Biljon, E. V., Whitenack, D., Onyefuluchi, C., Emezue, C., Dossou, B., Sibanda, B., Bassey, B. I., Olabiyi, A., Ramkilowan, A., Öktem, A., Akinfaderin, A. & Bashir, A., 5/10/2020, In: arXiv.

    Research output: Contribution to journal › Journal article › peer-review

  3. Stein Variational Gaussian Processes

    Pinder, T., Nemeth, C. & Leslie, D., 25/09/2020, In: arXiv.

    Research output: Contribution to journal › Journal article › peer-review

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

  5. Learning to Rank under Multinomial Logit Choice

    Grant, J. A. & Leslie, D. S., 7/09/2020, In: arXiv.org.

    Research output: Contribution to journal › Journal article

  6. On Thompson Sampling for Smoother-than-Lipschitz Bandits

    Grant, J. A. & Leslie, D. S., 26/08/2020, 23rd International Conference on Artificial Intelligence and Statistics. Proceedings of Machine Learning Research, p. 2612-2622 11 p. (Proceedings of Machine Learning Research; vol. 108).

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

  7. Filtered Poisson Process Bandit on a Continuum

    Grant, J. A. & Szechtman, R., 20/07/2020, In: arXiv.org.

    Research output: Contribution to journal › Journal article

  8. 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

  9. Adaptive policies for perimeter surveillance problems

    Grant, J. A., Leslie, D. S., Glazebrook, K., Szechtman, R. & Letchford, A., 16/05/2020, In: European Journal of Operational Research. 283, 1, p. 265-278 14 p.

    Research output: Contribution to journal › Journal article › peer-review

  10. Igbo-English Machine Translation: An Evaluation Benchmark

    Ezeani, I., Rayson, P., Onyenwe, I., Uchechukwu, C. & Hepple, M., 1/04/2020, In: arXiv. 4 p.

    Research output: Contribution to journal › Journal article › peer-review

  11. Towards Deep Machine Reasoning: a Prototype-based Deep Neural Network with Decision Tree Inference

    Angelov, P. & Soares, E., 2/02/2020, In: arXiv.

    Research output: Contribution to journal › Journal article

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