Sharrock, Louis

6 publications

ICML 2024 Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds Daniel Dodd, Louis Sharrock, Christopher Nemeth

NeurIPS 2024 Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows Alberto Cabezas, Louis Sharrock, Christopher Nemeth

ICML 2024 Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models Louis Sharrock, Jack Simons, Song Liu, Mark Beaumont

AISTATS 2024 Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting Louis Sharrock, Daniel Dodd, Christopher Nemeth

ICML 2023 Coin Sampling: Gradient-Based Bayesian Inference Without Learning Rates Louis Sharrock, Christopher Nemeth

NeurIPS 2023 Learning Rate Free Sampling in Constrained Domains Louis Sharrock, Lester W. Mackey, Christopher Nemeth