Louis Sharrock

16 papers A* 5A 1Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Wasserstein Gradient Flows for Batch Bayesian Optimal Experimental Design.
CoRR
Louis Sharrock
2024 A* conf
Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds.
ICML
Daniel Dodd, Louis Sharrock, Christopher Nemeth
2024 J jnl
Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds.
CoRR
Daniel Dodd, Louis Sharrock, Christopher Nemeth
2024 A* conf
Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows.
NeurIPS
Alberto Cabezas, Louis Sharrock, Christopher Nemeth
2024 J jnl
Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows.
CoRR
Alberto Cabezas, Louis Sharrock, Christopher Nemeth
2024 A* conf
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models.
ICML
Louis Sharrock, Jack Simons, Song Liu, Mark Beaumont
2024 A conf
Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting.
AISTATS
Louis Sharrock, Daniel Dodd, Christopher Nemeth
2023 A* conf
Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates.
ICML
Louis Sharrock, Christopher Nemeth
2023 J jnl
Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates.
CoRR
Louis Sharrock, Christopher Nemeth
2023 J jnl
CoinEM: Tuning-Free Particle-Based Variational Inference for Latent Variable Models.
CoRR
Louis Sharrock, Daniel Dodd, Christopher Nemeth
2023 A* conf
Learning Rate Free Bayesian Inference in Constrained Domains.
NeurIPS
Louis Sharrock, Lester Mackey, Christopher Nemeth
2023 J jnl
Learning Rate Free Bayesian Inference in Constrained Domains.
CoRR
Louis Sharrock, Lester Mackey, Christopher Nemeth
2022 J jnl
Joint Online Parameter Estimation and Optimal Sensor Placement for the Partially Observed Stochastic Advection-Diffusion Equation.
SIAM/ASA J. Uncertain. Quantification
Louis Sharrock, Nikolas Kantas
2022 J jnl
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models.
CoRR
Louis Sharrock, Jack Simons, Song Liu, Mark Beaumont
2021 J jnl
F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits.
CoRR
Chiara Leadbeater, Louis Sharrock, Brian Coyle, Marcello Benedetti
2021 J jnl
F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits.
Entropy
Chiara Leadbeater, Louis Sharrock, Brian Coyle, Marcello Benedetti