Matthew D. Hoffman
10 papers
· 2013–2023
· 5 conferences
· across top CS/AI conferences
Achievements
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(17)
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Interdisciplinary Bridge
π
Conference Polyglot
(5)
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Academic Marathon
(10)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Cross-Pollinator
(15)
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Keyword Champion
(2)
π₯
Mega-Team
(40)
π
Century Club
(10)
Conferences
JMLR (4)
AISTATS (3)
ICLR (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
markov chain monte carlo
(4)
hamiltonian monte carlo
(3)
bayesian inference
(3)
gradient-based sampling
(2)
variational inference
(2)
variational autoencoder
(2)
variational expectation-maximization
(2)
latent dirichlet allocation
(1)
posterior inference
(1)
bayesian nonparametrics
(1)
bayesian nonparametric
(1)
distribution shift
(1)
probabilistic programming
(1)
posterior distribution
(1)
hierarchical clustering
(1)
conditional distribution
(1)
stochastic variational inference
(1)
generative model
(1)
uncertainty quantification
(1)
domain generalization
(1)
Papers
Tuning-Free Generalized Hamiltonian Monte Carlo
AISTATS 2022
Stochastic Variational Inference
JMLR 2013