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Research

Professor Christopher Nemeth

Professor in Statistics, Research Student

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  1. 2023
  2. Forthcoming

    Preferential Subsampling for Stochastic Gradient Langevin Dynamics

    Putcha, S., Nemeth, C. & Fearnhead, P., 23/02/2023, (Accepted/In press) Proceedings of Machine Learning Research, (Artificial Intelligence and Statistics; vol. 206).

    Research output: Working paper › Preprint

  3. Published

    Sequential Estimation of Temporally Evolving Latent Space Network Models

    Turnbull, K., Nemeth, C., Nunes, M. & McCormick, T., 31/03/2023, In: Computational Statistics and Data Analysis. 179, 107627.

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

  4. 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/Magazine › Conference article › peer-review

  5. 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/Magazine › Conference article › peer-review

  6. Published

    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

  7. Published

    Learning Rate Free Bayesian Inference in Constrained Domains

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

    Research output: Working paper › Preprint

  8. Forthcoming

    Stochastic Gradient MCMC for Nonlinear State Space Models

    Aicher, C., Putcha, S., Nemeth, C., Fearnhead, P. & Fox, E. B., 8/06/2023, (Accepted/In press) In: Bayesian Analysis.

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

  9. Published

    Multivariate sensitivity analysis for a large-scale climate impact and adaptation model

    Oyebamiji, O., Nemeth, C. J., Harrison, P., Dunford, R. & Cojocaru, G., 13/06/2023, In: Journal of the Royal Statistical Society: Series C (Applied Statistics). 72, 3, p. 770-808 39 p.

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

  10. 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/Magazine › Journal article › peer-review

  11. Published

    Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates

    Sharrock, L. & Nemeth, C., 23/07/2023, In: Proceedings of Machine Learning Research. 202, p. 30850-30882 33 p.

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

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