← Authors

Arthur Choi

19 papers · 2009–2020 · 5 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (14) 🌍 Conference Polyglot (5) πŸƒ Academic Marathon (11) 🌈 Renaissance Researcher (5) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (15) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🀝 Dynamic Duo (19) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ”₯ Unstoppable (8) πŸ’Ž Century Club (19) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (75) πŸš€ Conference Pioneer

Conferences

NIPS (7) PGM (5) IJCAI (3) AAAI (2) ICML (2)

Top co-authors

Adnan Darwiche (19) Yujia Shen (6) Andy Shih (3) Khaled S Refaat (2) Guy Van den Broeck (2) Eunice Yuh-Jie Chen (2) Haiying Huang (1) Anchal Goyanka (1) Jesse Davis (1) Jessa Bekker (1)

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