Benedict Leimkuhler
4 papers · 2015–2022 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(15)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(4)
Optimization & Theory · Machine Learning
(4)
Artificial Intelligence
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Learning Types
(2)
Deep Learning
(1)
Mathematics & Optimization
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Optimization
(1)
Optimization & Theory · Deep Learning
(1)
Probability
(1)
Statistics
(1)
Techniques
(1)
Keywords
markov chain monte carlo
(2)
stochastic differential equation
(2)
bayesian inference
(2)
langevin dynamics
(2)
neural network optimization
(2)
posterior sampling
(1)
bayesian sampling
(1)
gradient descent
(1)
monte carlo sampling
(1)
stochastic gradient method
(1)
stochastic gradient langevin dynamics
(1)
weight constraint
(1)
bayesian posterior inference
(1)
stochastic gradient langevin
(1)
orthogonality preservation
(1)
langevin thermostat
(1)
adaptive thermostat
(1)
stochastic gradient
(1)
adaptive langevin thermostat
(1)
stochastic gradient descent
(1)
Papers
Multirate Training of Neural Networks
ICML 2022
Better Training using Weight-Constrained Stochastic Dynamics
ICML 2021
Posterior sampling strategies based on discretized stochastic differential equations for machine learning applications
JMLR 2020
Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling
NeurIPS 2015