| 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 | 52 | 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 | 52 | 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 | 35 | 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 AAAI Conference on Artificial Intelligence 35 (18), 16020 …, 2021 | 29 | 2021 |
| Probabilistic sufficient explanations E Wang, P Khosravi, GV Broeck arXiv preprint arXiv:2105.10118, 2021 | 22 | 2021 |
| 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, ... Advances in Protein Chemistry and Structural Biology 131, 1-44, 2022 | 6 | 2022 |
| Towards probabilistic sufficient explanations E Wang, P Khosravi, G Van den Broeck Extending Explainable AI Beyond Deep Models and Classifiers Workshop at ICML …, 2020 | 6 | 2020 |
| Generating High Fidelity Synthetic Data via Coreset selection and Entropic Regularization O Pooladzandi, P Khosravi, E Nijkamp, B Mirzasoleiman arXiv preprint arXiv:2302.00138, 2023 | 1 | 2023 |
| 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 26 (5), 1117-1128, 2022 | 1 | 2022 |
| What to Expect of Classifiers? P Khosravi, Y Liang, YJ Choi, G Van den Broeck Reasoning about Logistic Regression with Missing Features. arXiv, 2019 | 1 | 2019 |
| Applications of Probabilistic Reasoning in Trustworthy AI: From Handling Missing Data to Explainability P Khosravi University of California, Los Angeles, 2023 | | 2023 |
| Sales Channel Optimization via Simulations Based on Observational Data with Delayed Rewards: A Case Study at LinkedIn DM Negoescu, P Khosravi, S Zhao, N Chen, P Ahammad, H Gonzalez arXiv preprint arXiv:2209.07749, 2022 | | 2022 |
| Why Is This an Outlier? Explaining Outliers by Submodular Optimization of Marginal Distributions P Khosravi, A Vergari, G Van den Broeck The 5th Workshop on Tractable Probabilistic Modeling, 0 | | |
Guy Van den BroeckAssociate Professor and Samueli Fellow, UCLA在 cs.ucla.edu 的电子邮件经过验证
