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Louis Sharrock
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Citované v
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Online parameter estimation for the McKean–Vlasov stochastic differential equation
L Sharrock, N Kantas, P Parpas, GA Pavliotis
Stochastic Processes and their Applications 162, 481-546, 2023
48*2023
Sequential neural score estimation: Likelihood-free inference with conditional score based diffusion models
L Sharrock, J Simons, S Liu, M Beaumont
41st International Conference on Machine Learning (ICML 2024), 2022
32*2022
Joint online parameter estimation and optimal sensor placement for the partially observed stochastic advection-diffusion equation
L Sharrock, N Kantas
SIAM/ASA Journal on Uncertainty Quantification 10 (1), 55-95, 2022
142022
F-divergences and cost function locality in generative modelling with quantum circuits
C Leadbeater, L Sharrock, B Coyle, M Benedetti
Entropy 23 (10), 1281, 2021
142021
Tuning-free maximum likelihood training of latent variable models via coin betting
L Sharrock, D Dodd, C Nemeth
International Conference on Artificial Intelligence and Statistics, 1810-1818, 2024
9*2024
Two-timescale stochastic gradient descent in continuous time with applications to joint online parameter estimation and optimal sensor placement
L Sharrock, N Kantas
Bernoulli 29 (2), 1137-1165, 2023
92023
Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates
L Sharrock, C Nemeth
40th International Conference on Machine Learning (ICML 2023), 2023
92023
Learning Rate Free Sampling in Constrained Domains
L Sharrock, L Mackey, C Nemeth
37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2023
5*2023
Two-Timescale Stochastic Approximation for Bilevel Optimisation Problems in Continuous-Time Models
L Sharrock
39th International Conference on Machine Learning (ICML 2022): Workshop on …, 2022
32022
Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows
A Cabezas, L Sharrock, C Nemeth
arXiv preprint arXiv:2405.14392, 2024
22024
On the theory and applications of stochastic gradient descent in continuous time
L Sharrock
Imperial College London, 2022
12022
Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds
D Dodd, L Sharrock, C Nemeth
41st International Conference on Machine Learning (ICML 2024), 2024
2024
Systém momentálne nemôže vykonať operáciu. Skúste to neskôr.
Články 1–12