Matthew J Johnson
6 papers · 2013–2022 · 2 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (16) π£ Hot Topic Early Bird
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Topic Evolution
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Mega-Team Β· Squad
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Keyword Pioneer
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(5)
Optimization & Theory
(5)
Artificial Intelligence
(4)
Bayesian & Probabilistic Β· Artificial Intelligence
(4)
Deep Learning
(2)
Architectures
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Computer Science
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Application Areas
(1)
Optimization
(1)
Probability
(1)
Resources & Methods
(1)
Systems
(1)
Keywords
bayesian inference
(2)
convergence analysis
(1)
automatic differentiation
(1)
markov chain monte carlo
(1)
parallel computing
(1)
message passing
(1)
gibbs sampling
(1)
distributed inference
(1)
markov chain
(1)
stochastic process
(1)
probabilistic programming
(1)
conditional distribution
(1)
parallel gibbs sampling
(1)
probabilistic graphical model
(1)
latent variable
(1)
marginal distribution
(1)
gaussian distribution
(1)
parallel algorithm
(1)
neural ordinary differential equation
(1)
scaling law
(1)
Papers
Unified Scaling Laws for Routed Language Models
ICML 2022
Learning Differential Equations that are Easy to Solve
NeurIPS 2020
Autoconj: Recognizing and Exploiting Conjugacy Without a Domain-Specific Language
NeurIPS 2018
Composing graphical models with neural networks for structured representations and fast inference
NeurIPS 2016
Dependent Multinomial Models Made Easy: Stick-Breaking with the Polya-gamma Augmentation
NeurIPS 2015
Analyzing Hogwild Parallel Gaussian Gibbs Sampling
NeurIPS 2013