Arthur Choi
19 papers · 2009–2020 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (34) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
(5)
π€
Dynamic Duo
(19)
π
Trend Setter
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
ποΈ
Keyword Collector
(87)
Venues
Top co-authors
Research topics
Artificial Intelligence
(16)
Machine Learning
(16)
Bayesian & Probabilistic Β· Machine Learning
(14)
Bayesian & Probabilistic Β· Artificial Intelligence
(13)
Optimization & Theory
(12)
Core Methods
(10)
Core AI
(9)
Knowledge & Reasoning
(3)
Mathematics & Optimization
(3)
Learning Types
(3)
Deep Learning
(2)
Architectures
(2)
Mathematics
(2)
Representation
(2)
Learning Paradigms
(1)
Keywords
bayesian network
(7)
graphical model
(6)
probabilistic graphical model
(6)
arithmetic circuit
(5)
probabilistic sentential decision diagram
(3)
probabilistic modeling
(3)
explainable ai
(3)
probabilistic model
(3)
sentential decision diagram
(2)
structure learning
(2)
bayesian network classifier
(2)
ordered decision diagram
(2)
inference algorithm
(2)
neural network
(2)
exact inference
(2)
parameter estimation
(2)
tractable inference
(2)
parameter learning
(2)
markov network
(2)
route distribution
(2)
Papers
A New Perspective on Learning Context-Specific Independence
PGM 2020
Supervised Learning with Background Knowledge
PGM 2020
Compiling Bayesian Network Classifiers into Decision Graphs
AAAI 2019
Conditional Independence in Testing Bayesian Networks
ICML 2019
Structured Bayesian Networks: From Inference to Learning with Routes
AAAI 2019
A Symbolic Approach to Explaining Bayesian Network Classifiers
IJCAI 2018
Formal Verification of Bayesian Network Classifiers
PGM 2018
On the Relative Expressiveness of Bayesian and Neural Networks
PGM 2018
On Relaxing Determinism in Arithmetic Circuits
ICML 2017
Tractability in Structured Probability Spaces
NeurIPS 2017
Learning Bayesian networks with ancestral constraints
NeurIPS 2016
On Pruning with the MDL Score
PGM 2016
Tractable Operations for Arithmetic Circuits of Probabilistic Models
NeurIPS 2016
Tractable Learning for Complex Probability Queries
NeurIPS 2015
Tractable Learning for Structured Probability Spaces: A Case Study in Learning Preference Distributions
IJCAI 2015
Decomposing Parameter Estimation Problems
NeurIPS 2014
An Exact Algorithm for Computing the Same-Decision Probability
IJCAI 2013
EDML for Learning Parameters in Directed and Undirected Graphical Models
NeurIPS 2013
Approximating MAP by Compensating for Structural Relaxations
NeurIPS 2009