| What to expect of classifiers? reasoning about logistic regression with missing features P Khosravi, Y Liang, YJ Choi, GV Broeck arXiv preprint arXiv:1903.01620, 2019 | 38 | 2019 |
| On tractable computation of expected predictions P Khosravi, YJ Choi, Y Liang, A Vergari, G Van den Broeck Advances in Neural Information Processing Systems 32, 2019 | 31 | 2019 |
| Handling missing data in decision trees: A probabilistic approach P Khosravi, A Vergari, YJ Choi, Y Liang, GV Broeck arXiv preprint arXiv:2006.16341, 2020 | 20 | 2020 |
| Juice: A julia package for logic and probabilistic circuits M Dang, P Khosravi, Y Liang, A Vergari, G Van den Broeck Proceedings of the 35th AAAI Conference on Artificial Intelligence (Demo Track), 2021 | 14 | 2021 |
| Probabilistic sufficient explanations E Wang, P Khosravi, GV Broeck arXiv preprint arXiv:2105.10118, 2021 | 5 | 2021 |
| Towards probabilistic sufficient explanations E Wang, P Khosravi, G Van den Broeck Extending Explainable AI Beyond Deep Models and Classifiers Workshop at ICML …, 2020 | 4 | 2020 |
| On the current failure--but bright future--of topology-driven biological network alignment S Wang, X Chen, BJ Frederisy, BA Mbakogu, AD Kanne, P Khosravi, ... arXiv preprint arXiv:2204.11999, 2022 | 1 | 2022 |
| Multi-SANA: Comparing Measures of Topological Similarity for Multiple Network Alignment S Rong, W Wang, V Ly, P Khosravi, WC Wu, J Chen, WB Hayes IEEE Transactions on Evolutionary Computation, 2022 | | 2022 |
| On the abject failure—and future prospects—of topological network alignment S Wang, X Chen, BJ Frederisy, BA Mbakogu, AD Kanne, P Khosravi, ... | | |
| What to Expect of Classifiers? P Khosravi, Y Liang, YJ Choi, G Van den Broeck | | |
Guy Van den BroeckAssociate Professor and Samueli Fellow, UCLAVerified email at cs.ucla.edu
