Jonathan H. Huggins
4 papers · 2019–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🗺️
Taxonomy Completionist
(10)
Venues
Top co-authors
Research topics
Keywords
variational inference
(2)
posterior approximation
(2)
markov chain monte carlo
(2)
kl divergence
(1)
gaussian process
(1)
kullback-leibler divergence
(1)
variational approximation
(1)
bayesian neural network
(1)
convergence detection
(1)
finite-data guarantee
(1)
posterior mean
(1)
preconditioned fisher divergence
(1)
black-box variational inference
(1)
posterior functional
(1)
bayesian coreset
(1)
stochastic gradient optimization
(1)
wasserstein distance
(1)
learning rate free optimization
(1)
stochastic optimization
(1)
bayesian inference
(1)
Papers
Tuning-Free Coreset Markov Chain Monte Carlo via Hot DoG
UAI 2025
A Framework for Improving the Reliability of Black-box Variational Inference
JMLR 2024
A Targeted Accuracy Diagnostic for Variational Approximations
AISTATS 2023
Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees
AISTATS 2019