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Research

Professor Christopher Nemeth

Professor of Probabilistic Machine Learning, Research Student

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  1. 2023
  2. Published

    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., 31/12/2023, In: Journal of Glaciology. 69, 278, p. 1834-1845 12 p.

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

  3. 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

  4. Published

    Learning Rate Free Sampling in Constrained Domains

    Sharrock, L., Mackey, L. & Nemeth, C., 12/12/2023, In: Advances in Neural Information Processing Systems. 36

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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. Published

    Learning Rate Free Bayesian Inference in Constrained Domains

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

    Research output: Working paper › Preprint

  11. 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

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