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Research

Professor Christopher Nemeth

Professor in Statistics, Research Student

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  1. 2024
  2. Forthcoming

    Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting

    Sharrock, L., Dodd, D. & Nemeth, C., 19/01/2024, (Accepted/In press) In: Proceedings of Machine Learning Research.

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

  3. E-pub ahead of print

    Seconder of the vote of thanks and contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’

    Nemeth, C., 2/01/2024, (E-pub ahead of print) In: Journal of the Royal Statistical Society: Series B (Statistical Methodology).

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

  4. 2023
  5. Published

    SwISS: A Scalable Markov chain Monte Carlo Divide-and-Conquer Strategy

    Vyner, C., Nemeth, C. & Sherlock, C., 31/12/2023, In: Stat. 12, 1, 11 p., e523.

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

  6. E-pub ahead of print

    Latent Space Modelling of Hypergraph Data

    Turnbull, K., Lunagomez, S., Nemeth, C. & Airoldi, E., 23/10/2023, (E-pub ahead of print) In: Journal of the American Statistical Association.

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

  7. Forthcoming

    Learning Rate Free Bayesian Inference in Constrained Domains

    Sharrock, L., Mackey, L. & Nemeth, C., 21/09/2023, (Accepted/In press) In: Advances in Neural Information Processing Systems. 37

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

  8. E-pub ahead of print

    Characterising the ice sheet surface in North East Greenland using Sentinel-1 SAR data

    Shu, Q., Killick, R., Leeson, A., Nemeth, C., Fettweis, X., Hogg, A. & Leslie, D., 31/08/2023, (E-pub ahead of print) In: Journal of Glaciology. 12 p.

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

  9. 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

  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

    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

  12. 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

  13. 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

  14. Published

    Learning Rate Free Bayesian Inference in Constrained Domains

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

    Research output: Working paper › Preprint

  15. 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

  16. 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

  17. 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

  18. 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

  19. 2022
  20. Published

    SwISS: A Scalable Markov chain Monte Carlo Divide-and-Conquer Strategy

    Vyner, C., Nemeth, C. & Sherlock, C., 8/08/2022.

    Research output: Working paper › Preprint

  21. Published

    Semi-Exact Control Functionals From Sard's Method

    South, L., Karvonen, T., Nemeth, C., Girolami, M. & Oates, C. J., 30/06/2022, In: Biometrika. 109, 2, p. 351-367 17 p.

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

  22. Published

    Modelling Populations of Interaction Networks via Distance Metrics

    Bolt, G., Lunagómez, S. & Nemeth, C., 20/06/2022.

    Research output: Working paper › Preprint

  23. Published

    Distances for Comparing Multisets and Sequences

    Bolt, G., Lunagómez, S. & Nemeth, C., 17/06/2022, Arxiv.

    Research output: Working paper › Preprint

  24. Published

    GaussianProcesses.jl: A Nonparametric Bayes package for the Julia Language

    Fairbrother, J., Nemeth, C., Pinder, T., Rischard, M. & Brea, J., 30/04/2022, In: Journal of Statistical Software. 102, 1, p. 1-36 36 p.

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

  25. Published

    SGMCMCJax: a lightweight JAX library for stochastic gradient Markov chain Monte Carlo algorithms

    Coullon, J. & Nemeth, C., 18/04/2022, In: Journal of Open Source Software. 7, 72, 2 p., 4113.

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

  26. Published

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

    Oyebamiji, O., Nemeth, C., Harrison, P., Dunford, R. & Cojocaru, G., 24/01/2022, Arxiv.

    Research output: Working paper › Preprint

  27. 2021
  28. Published

    Gaussian Processes on Hypergraphs

    Pinder, T., Turnbull, K., Nemeth, C. & Leslie, D., 3/06/2021.

    Research output: Working paper › Preprint

  29. Published

    Efficient and Generalizable Tuning Strategies for Stochastic Gradient MCMC

    Coullon, J., South, L. & Nemeth, C., 27/05/2021, Arxiv.

    Research output: Working paper › Preprint

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