Arthur Choi
19 papers · 2009–2020 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (15) π§ Keyword Pioneer π Academic Marathon (11)
πΊοΈ
Taxonomy Completionist
(15)
π
Interdisciplinary Bridge
π§
Keyword Pioneer
π€
Dynamic Duo
(19)
π§¬
Topic Evolution
π
Keyword Champion
(2)
π₯
Unstoppable
(8)
π
Century Club
(19)
π
Trend Setter
ποΈ
Keyword Collector
(75)
π
Conference Pioneer
Conferences
NIPS (7)
PGM (5)
IJCAI (3)
AAAI (2)
ICML (2)
Top co-authors
Keywords
bayesian network
(7)
graphical model
(6)
probabilistic graphical model
(6)
arithmetic circuit
(4)
explainable ai
(3)
probabilistic modeling
(3)
probabilistic sentential decision diagram
(3)
probabilistic model
(3)
neural network
(2)
bayesian network classifier
(2)
route distribution
(2)
structure learning
(2)
inference algorithm
(2)
sentential decision diagram
(2)
markov network
(2)
parameter estimation
(2)
exact inference
(2)
tractable inference
(2)
ordered decision diagram
(2)
continuous optimization
(1)
Papers
Supervised Learning with Background Knowledge
PGM 2020
A New Perspective on Learning Context-Specific Independence
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
NIPS 2017
Tractable Operations for Arithmetic Circuits of Probabilistic Models
NIPS 2016
On Pruning with the MDL Score
PGM 2016
Learning Bayesian networks with ancestral constraints
NIPS 2016
Tractable Learning for Complex Probability Queries
NIPS 2015
Tractable Learning for Structured Probability Spaces: A Case Study in Learning Preference Distributions
IJCAI 2015
Decomposing Parameter Estimation Problems
NIPS 2014
EDML for Learning Parameters in Directed and Undirected Graphical Models
NIPS 2013
An Exact Algorithm for Computing the Same-Decision Probability
IJCAI 2013
Approximating MAP by Compensating for Structural Relaxations
NIPS 2009