journal articles, conference papers, and preprints.


  1. Online Parameter Estimation for the McKean-Vlasov Stochastic Differential Equation
    Stochastic Processes and their Applications, 2023
  2. Two-timescale stochastic gradient descent in continuous time with applications to joint online parameter estimation and optimal sensor placement
    Louis Sharrock, and Nikolas Kantas
    Bernoulli, 2023
  3. Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates
    Louis Sharrock, and Christopher Nemeth
    Proceedings of the 40th International Conference on Machine Learning (ICML 2023), 2023
  4. Learning Rate Free Bayesian Inference in Constrained Domains
    Louis SharrockLester Mackey, and Christopher Nemeth
    To appear in Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2023
  5. arXiv
    CoinEM: Tuning-Free Particle-Based Variational Inference for Latent Variable Models
    Louis SharrockDaniel Dodd, and Christopher Nemeth
    arXiv preprint, 2023


  1. Joint online parameter estimation for the partially observed stochastic advection diffusion equation
    Louis Sharrock, and Nikolas Kantas
    SIAM /ASA Journal on Uncertainty Quantification, 2022
  2. Two-timescale stochastic approximation for bilevel optimisation problems in continuous-time models
    Louis Sharrock
    In ICML 2022 Workshop on Continuous Time Methods for Machine Learning, 2022
  3. arXiv
    Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models
    Louis SharrockJack SimonsSong Liu, and Mark Beaumont
    arXiv preprint, 2022


  1. Entropy
    F-divergences and cost function locality in generative modelling with quantum circuits