Results for cs.LG

Publications & Outputs

1. Scalable Monte Carlo for Bayesian Learning

   Fearnhead, P., Nemeth, C., Oates, C. J. & Sherlock, C., 5/05/2025, Cambridge: Cambridge University Press. ( Institute of Mathematical Statistics Monographs)

   Research output: Book/Report/Proceedings › Book

2. Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI

   Papamarkou, T., Skoularidou, M., Palla, K., Aitchison, L., Arbel, J., Dunson, D., Filippone, M., Fortuin, V., Hennig, P., Hernández-Lobato, J. M., Hubin, A., Immer, A., Karaletsos, T., Khan, M. E., Kristiadi, A., Li, Y., Mandt, S., Nemeth, C., Osborne, M. A. & Rudner, T. G. J. & 5 others, Rügamer, D., Teh, Y. W., Welling, M., Wilson, A. G. & Zhang, R., 31/12/2024, In: Proceedings of Machine Learning Research. 235, p. 39556-39586 31 p.

   Research output: Contribution to Journal/Magazine › Conference article › peer-review

3. Federated $\mathcal{X}$-armed Bandit with Flexible Personalisation

   Arabzadeh, A., Grant, J. A. & Leslie, D. S., 11/09/2024, Arxiv.

   Research output: Working paper › Preprint

4. Semi-Supervised Learning guided by the Generalized Bayes Rule under Soft Revision

   Dietrich, S., Rodemann, J. & Jansen, C., 24/05/2024, Arxiv.

   Research output: Working paper › Preprint

5. A Federated Learning Approach to Privacy Preserving Offensive Language Identification

   Zampieri, M., Dola Mullage, D. & Ranasinghe, T., 20/05/2024, TRAC-2024: The Fourth Workshop on Threat, Aggression & Cyberbullying @LREC-COLING-2024: Workshop proceedings. European Language Resources Association (ELRA)

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

6. IMAFD: An Interpretable Multi-stage Approach to Flood Detection from time series Multispectral Data

   Zhang, Z., Angelov, P., Kangin, D. & Longepe, N., 13/05/2024, Arxiv.

   Research output: Working paper › Preprint

7. An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning

   Müller, S., Toborek, V., Beckh, K., Jakobs, M., Bauckhage, C. & Welke, P., 27/06/2023, Arxiv.

   Research output: Working paper › Preprint

8. Expectation-Complete Graph Representations with Homomorphisms

   Welke, P., Thiessen, M., Jogl, F. & Gärtner, T., 9/06/2023, Arxiv.

   Research output: Working paper › Preprint

9. CoinEM: Tuning-Free Particle-Based Variational Inference for Latent Variable Models

   Sharrock, L., Dodd, D. & Nemeth, C., 24/05/2023.

   Research output: Working paper › Preprint

10. Learning Rate Free Bayesian Inference in Constrained Domains

    Sharrock, L., Mackey, L. & Nemeth, C., 24/05/2023.

    Research output: Working paper › Preprint

11. The African Stopwords project: curating stopwords for African languages

    Emezue, C., Nigatu, H., Chukwuneke, C., Thinwa, C., Zhou, H., Muhammad, S., Louis, L., Abdulmumin, I., Oyerinde, S., Ajibade, B., Samuel, O., Joshua, O., Onwuegbuzia, E., Emezue, H., Ige, I. A., Tonja, A. L., Dossou, B. F. P., Etori, N. A., Emmanuel, M. C. & Yousuf, O. & 2 others, Aina, K. & David, D., 21/03/2023, Arxiv.

    Research output: Working paper › Preprint

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