| A symbolic approach to explaining bayesian network classifiers A Shih, A Choi, A Darwiche arXiv preprint arXiv:1805.03364, 2018 | 277 | 2018 |
| Probabilistic sentential decision diagrams D Kisa, G Van den Broeck, A Choi, A Darwiche Fourteenth International Conference on the Principles of Knowledge …, 2014 | 201 | 2014 |
| Optimal algorithms for haplotype assembly from whole-genome sequence data D He, A Choi, K Pipatsrisawat, A Darwiche, E Eskin Bioinformatics 26 (12), i183-i190, 2010 | 160 | 2010 |
| Dynamic minimization of sentential decision diagrams A Choi, A Darwiche Proceedings of the AAAI Conference on Artificial Intelligence 27 (1), 187-194, 2013 | 89 | 2013 |
| Compiling probabilistic graphical models using sentential decision diagrams A Choi, D Kisa, A Darwiche Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 12th …, 2013 | 88 | 2013 |
| Compiling bayesian network classifiers into decision graphs A Shih, A Choi, A Darwiche Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7966-7974, 2019 | 85 | 2019 |
| Tractable operations for arithmetic circuits of probabilistic models Y Shen, A Choi, A Darwiche Advances in Neural Information Processing Systems 29, 2016 | 78 | 2016 |
| On tractable representations of binary neural networks W Shi, A Shih, A Darwiche, A Choi arXiv preprint arXiv:2004.02082, 2020 | 75 | 2020 |
| On relaxing determinism in arithmetic circuits A Choi, A Darwiche International Conference on Machine Learning, 825-833, 2017 | 71 | 2017 |
| Tractable learning for complex probability queries J Bekker, J Davis, A Choi, A Darwiche, G Van den Broeck Advances in Neural Information Processing Systems 28, 2015 | 71 | 2015 |
| Tractable learning for structured probability spaces: A case study in learning preference distributions A Choi, G Van den Broeck, A Darwiche Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015 | 69 | 2015 |
| Same-decision probability: A confidence measure for threshold-based decisions A Choi, Y Xue, A Darwiche International Journal of Approximate Reasoning 53 (9), 1415-1428, 2012 | 65 | 2012 |
| Verifying binarized neural networks by angluin-style learning A Shih, A Darwiche, A Choi Theory and Applications of Satisfiability Testing–SAT 2019: 22nd …, 2019 | 61 | 2019 |
| Basing decisions on sentences in decision diagrams Y Xue, A Choi, A Darwiche Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 842-849, 2012 | 60 | 2012 |
| An edge deletion semantics for belief propagation and its practical impact on approximation quality A Choi, A Darwiche Proceedings of the National Conference on Artificial Intelligence 21 (2), 1107, 2006 | 59 | 2006 |
| Node splitting: A scheme for generating upper bounds in bayesian networks A Choi, M Chavira, A Darwiche Proceedings of the 23rd Conference on Uncertainty in Artificial Intelligence …, 2007 | 49* | 2007 |
| Lifted Relax, Compensate and then Recover: From Approximate to Exact Lifted Probabilistic Inference. G Van den Broeck, A Choi, A Darwiche UAI, 131-141, 2012 | 47 | 2012 |
| Structured features in naive Bayes classification A Choi, N Tavabi, A Darwiche Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 45 | 2016 |
| Formal verification of Bayesian network classifiers A Shih, A Choi, A Darwiche International Conference on Probabilistic Graphical Models, 427-438, 2018 | 44 | 2018 |
| Learning Bayesian networks with ancestral constraints EYJ Chen, Y Shen, A Choi, A Darwiche Advances in Neural Information Processing Systems 29, 2016 | 44 | 2016 |
Adnan DarwicheProfessor of Computer Science, UCLAVerified email at cs.ucla.edu
