Jonathan H. Huggins
4 papers · 2019–2025 · 3 conferences · across top CS/AI conferences
Achievements
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🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🌍
Conference Polyglot
(3)
🏃
Academic Marathon
(6)
🐝
Cross-Pollinator
(14)
Conferences
AISTATS (2)
JMLR (1)
UAI (1)
Top co-authors
Keywords
variational inference
(2)
stochastic optimization
(1)
bayesian inference
(1)
kl divergence
(1)
markov chain monte carlo
(1)
gaussian process
(1)
kullback-leibler divergence
(1)
variational approximation
(1)
posterior 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)
wasserstein distance
(1)
posterior functional
(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