Louis Sharrock
6 papers · 2023–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(16)
Venues
Top co-authors
Research topics
Machine Learning
(5)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Mathematics & Optimization
(3)
Models
(3)
Optimization
(3)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Bayesian & Probabilistic · Machine Learning
(1)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types
(1)
Mathematics
(1)
Probability
(1)
Keywords
stein variational gradient descent
(3)
coin betting
(2)
stochastic optimization
(2)
probabilistic inference
(1)
likelihood-free inference
(1)
flow matching
(1)
adaptive sampling
(1)
markov chain monte carlo
(1)
posterior distribution
(1)
probability measure
(1)
riemannian manifold
(1)
constrained sampling
(1)
generative model
(1)
learning rate
(1)
latent variable model
(1)
convergence guarantee
(1)
score-based diffusion model
(1)
free energy functional
(1)
simulator-based model
(1)
particle method
(1)
Papers
Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds
ICML 2024
Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows
NeurIPS 2024
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models
ICML 2024
Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting
AISTATS 2024
Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates
ICML 2023
Learning Rate Free Sampling in Constrained Domains
NeurIPS 2023