Charles A. Sutton
8 papers · 2011–2023 · 1 venue · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (31) π Academic Marathon Β· Half π Keyword Champion
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Keyword Pioneer
ποΈ
Keyword Collector
(54)
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Renaissance Researcher
(5)
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Trend Setter
Venues
Top co-authors
Research topics
Artificial Intelligence
(7)
Machine Learning
(7)
Optimization & Theory
(4)
Deep Learning
(3)
Mathematics & Optimization
(3)
Bayesian & Probabilistic Β· Artificial Intelligence
(3)
Bayesian & Probabilistic Β· Machine Learning
(3)
Core AI
(3)
Core Methods
(3)
Learning Types
(3)
Optimization
(3)
Computer Science
(2)
Architectures
(2)
Learning Paradigms
(2)
Interdisciplinary
(1)
Keywords
markov chain monte carlo
(2)
graph neural network
(2)
hamiltonian monte carlo
(2)
partition function
(2)
program synthesis
(2)
bayesian inference
(2)
expectation maximization
(1)
chain-of-thought reasoning
(1)
variational inference
(1)
posterior sampling
(1)
bayesian sampling
(1)
probabilistic inference
(1)
discrete optimization
(1)
hessian approximation
(1)
continuous relaxation
(1)
software engineering
(1)
semantic representation
(1)
discrete inference
(1)
partition function estimation
(1)
representation learning
(1)
Papers
LambdaBeam: Neural Program Search with Higher-Order Functions and Lambdas
NeurIPS 2023
Training Chain-of-Thought via Latent-Variable Inference
NeurIPS 2023
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics
NeurIPS 2021
Learning Semantic Representations to Verify Hardware Designs
NeurIPS 2021
Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration
NeurIPS 2020
Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks
NeurIPS 2020
Continuous Relaxations for Discrete Hamiltonian Monte Carlo
NeurIPS 2012
Quasi-Newton Methods for Markov Chain Monte Carlo
NeurIPS 2011