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Statistical Artificial Intelligence

  1. 2023
  2. Published

    Reversible Jump PDMP Samplers for Variable Selection

    Chevallier, A., Fearnhead, P. & Sutton, M., 31/07/2023, In: Journal of the American Statistical Association. 118, 544, p. 2915-2927

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. Published

    Efficient and generalizable tuning strategies for stochastic gradient MCMC

    Coullon, J., South, L. & Nemeth, C., 30/06/2023, In: Statistics and Computing. 33, 3, 66.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  4. Published

    Collective Anomaly Detection in High-Dimensional Var Models

    Maeng, H., Eckley, I. & Fearnhead, P., 31/05/2023, In: Statistica Sinica. 33, 1603-1627, p. 1603-1627 25 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  5. Published

    A hospital demand and capacity intervention approach for COVID-19

    Van Yperen, J., Campillo-Funollet, E., Inkpen, R., Memon, A., Madzvamuse, A. & Ndeffo-Mbah, M. L. (Editor), 3/05/2023, In: PLoS One. 18, 5, 35 p., e0283350.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  6. Published

    Preferential Subsampling for Stochastic Gradient Langevin Dynamics

    Putcha, S., Nemeth, C. & Fearnhead, P., 27/04/2023, In: Proceedings of Machine Learning Research. 206, p. 8837-8856 20 p.

    Research output: Contribution to Journal/MagazineConference articlepeer-review

  7. Published

    {PF}2 ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization

    Qing, J., Moss, H. B., Dhaene, T. & Couckuyt, I., 25/04/2023, International Conference on Artificial Intelligence and Statistics. Ruiz, F., Dy, J. & van de Meent, J.-W. (eds.). PMLR, Vol. 206. p. 2565-2588 24 p. (Proceedings of Machine Learning Research; vol. 206).

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

  8. Published

    Inducing point allocation for sparse Gaussian processes in high-throughput Bayesian optimisation

    Moss, H. B., Ober, S. W. & Picheny, V., 25/04/2023, International Conference on Artificial Intelligence and Statistics. PMLR, Vol. 206. p. 5213-5230 18 p. (Proceedings of Machine Learning Research).

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

  9. Published

    Transport Elliptical Slice Sampling

    Cabezas, A. & Nemeth, C., 25/04/2023, In: Proceedings of Machine Learning Research. 206, p. 3664-3676 13 p.

    Research output: Contribution to Journal/MagazineConference articlepeer-review

  10. Published

    Fast Online Changepoint Detection via Functional Pruning CUSUM Statistics

    Romano, G., Eckley, I. A., Fearnhead, P. & Rigaill, G., 31/03/2023, In: Journal of Machine Learning Research. 24, p. 1-36 36 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  11. Published

    gfpop: An R Package for Univariate Graph-Constrained Change-Point Detection

    Runge, V., Hocking, T. D., Romano, G., Afghah, F., Fearnhead, P. & Rigaill, G., 27/03/2023, In: Journal of Statistical Software. 106, 6, p. 1–39 39 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

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