Items where Author is "Sharrock, Louis"

Journal Article

Dodd, Daniel and Sharrock, Louis and Nemeth, Christopher (2025) Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds. Proceedings of Machine Learning Research, 235. pp. 11105-11148. ISSN 1938-7228

Sharrock, Louis and Simons, Jack and Liu, Song and Beaumont, Mark (2024) Sequential Neural Score Estimation : Likelihood-Free Inference with Conditional Score Based Diffusion Models. Proceedings of Machine Learning Research, 235. pp. 44565-44602. ISSN 1938-7228

Sharrock, Louis and Dodd, Daniel and Nemeth, Christopher (2024) Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting. Proceedings of Machine Learning Research, 238. pp. 1810-1818. ISSN 1938-7228

Sharrock, Louis and Mackey, Lester and Nemeth, Christopher (2023) Learning Rate Free Sampling in Constrained Domains. Advances in Neural Information Processing Systems, 36. ISSN 1049-5258

Sharrock, Louis and Mackey, Lester and Nemeth, Christopher (2023) Learning Rate Free Bayesian Inference in Constrained Domains. Advances in Neural Information Processing Systems, 37. ISSN 1049-5258 (In Press)

Sharrock, Louis and Nemeth, Christopher (2023) Coin Sampling : Gradient-Based Bayesian Inference without Learning Rates. Proceedings of Machine Learning Research, 202. pp. 30850-30882. ISSN 1938-7228

Contribution in Book/Report/Proceedings

Cabezas Gonzalez, Alberto and Sharrock, Louis and Nemeth, Christopher (2024) Markovian Flow Matching : Accelerating MCMC with Continuous Normalizing Flows. In: NIPS '24: Proceedings of the 38th International Conference on Neural Information Processing Systems :. Advances in Neural Information Processing Systems . Curran Associates, Inc., New York, pp. 104383-104411. ISBN 9798331314385

Monograph

Sharrock, Louis and Dodd, Daniel and Nemeth, Christopher (2023) CoinEM : Tuning-Free Particle-Based Variational Inference for Latent Variable Models. Other. UNSPECIFIED.

Sharrock, Louis and Mackey, Lester and Nemeth, Christopher (2023) Learning Rate Free Bayesian Inference in Constrained Domains. Other. UNSPECIFIED.