| Tractable operations for arithmetic circuits of probabilistic models Y Shen, A Choi, A Darwiche Advances in Neural Information Processing Systems 29, 2016 | 77 | 2016 |
| Learning Bayesian networks with ancestral constraints EYJ Chen, Y Shen, A Choi, A Darwiche Advances in Neural Information Processing Systems 29, 2016 | 43 | 2016 |
| Conditional PSDDs: Modeling and learning with modular knowledge Y Shen, A Choi, A Darwiche Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 23 | 2018 |
| Tractability in structured probability spaces A Choi, Y Shen, A Darwiche Advances in Neural Information Processing Systems 30, 2017 | 21 | 2017 |
| Structured bayesian networks: From inference to learning with routes Y Shen, A Goyanka, A Darwiche, A Choi Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7957-7965, 2019 | 18 | 2019 |
| A Tractable Probabilistic Model for Subset Selection. Y Shen, A Choi, A Darwiche UAI, 2017 | 17 | 2017 |
| A new perspective on learning context-specific independence Y Shen, A Choi, A Darwiche International conference on probabilistic graphical models, 425-436, 2020 | 10 | 2020 |
| Conditional independence in testing bayesian networks Y Shen, H Huang, A Choi, A Darwiche International Conference on Machine Learning, 5701-5709, 2019 | 8 | 2019 |
| FPGA acceleration of probabilistic sentential decision diagrams with high-level synthesis Y Choi, C Santillana, Y Shen, A Darwiche, J Cong ACM Transactions on Reconfigurable Technology and Systems 16 (2), 1-22, 2023 | 7 | 2023 |
| Modeling, Learning and Reasoning with Structured Bayesian Networks Y Shen University of California, Los Angeles, 2020 | | 2020 |
