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Statistical Artificial Intelligence

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  1. 2024
  2. Forthcoming

    Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows

    Cabezas Gonzalez, A., Sharrock, L. & Nemeth, C., 25/09/2024, (Accepted/In press) In: Advances in Neural Information Processing Systems.

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

  3. Published

    Tropical geometric tools for machine learning: the TML package

    Barnhill, D., Yoshida, R., Aliatimis, G. & Miura, K., 5/10/2024, In: Journal of Software for Algebra and Geometry. 14, 1, p. 133-174 42 p.

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

  4. Published

    Latent Space Modelling of Hypergraph Data

    Turnbull, K., Lunagomez, S., Nemeth, C. & Airoldi, E., 31/10/2024, In: Journal of the American Statistical Association. 119, 548, p. 2634-2646 13 p.

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

  5. Published

    PDMP Monte Carlo methods for piecewise-smooth densities

    Chevallier, A., Power, S., Wang, A. Q. & Fearnhead, P., 7/11/2024, In: Advances in Applied Probability. 56, 4, p. 1153-1194 42 p.

    Research output: Contribution to Journal/Magazine › Journal article

  6. Forthcoming

    Federated χ-armed Bandit with Flexible Personalisation

    Arabzadeh, A., Grant, J. A. & Leslie, D. S., 27/11/2024, (Accepted/In press) In: Transactions on Machine Learning Research. 2024, 15 p.

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

  7. 2025
  8. Published

    Poisson-FOCuS: An Efficient Online Method for Detecting Count Bursts with Application to Gamma Ray Burst Detection

    Ward, K., Dilillo, G., Eckley, I. & Fearnhead, P., 2/01/2025, In: Journal of the American Statistical Association. 120, 549, p. 7-19 13 p.

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

  9. Published

    Advances in Bayesian Computation: Bridging Modern Machine Learning and Traditional Monte Carlo Methods

    Cabezas Gonzalez, A., 18/03/2025, Lancaster University. 177 p.

    Research output: Thesis › Doctoral Thesis

  10. Published

    Stochastic Gradient MCMC for Nonlinear State Space Models*

    Aicher, C., Putcha, S., Nemeth, C., Fearnhead, P. & Fox, E. B., 31/03/2025, In: Bayesian Analysis. 20, 1, p. 1385-1407 23 p.

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

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