Pasha Khosravi

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Guy Van den BroeckAssociate Professor and Samueli Fellow, UCLAVerified email at cs.ucla.edu
Yitao LiangPeking UniversityVerified email at pku.edu.cn
YooJung ChoiAssistant Professor, Arizona State UniversityVerified email at asu.edu
Antonio VergariReader (Associate Professor), University of Edinburgh, UKVerified email at ed.ac.uk
Wayne B HayesUniversity of California, IrvineVerified email at uci.edu
Meihua DangStudent, UCLAVerified email at cs.ucla.edu
Xiaoyin ChenDuke UniversityVerified email at duke.edu
Weisheng WangB.S., University of California, IrvineVerified email at uci.edu
Shiyue RongUniversity of California, IrvineVerified email at uci.edu
Omead PooladzandiECE PhD , University of California, Los AngelesVerified email at g.ucla.edu
Erik NijkampSalesforce ResearchVerified email at ucla.edu
Baharan MirzasoleimanUCLAVerified email at cs.ucla.edu
Humberto GonzalezStaff Data Scientist, LinkedInVerified email at linkedin.com
Parvez AhammadDirector of Engineering @ LinkedInVerified email at linkedin.com
Diana M NegoescuLinkedInVerified email at linkedin.com

Pasha Khosravi

Computer Science PhD Student at UCLA

Verified email at cs.ucla.edu - Homepage

XAI Probabilistic Reasoning Machine Learning Artificial Intelligence


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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	49	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	40	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	27	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	23	2021
Probabilistic sufficient explanations E Wang, P Khosravi, GV Broeck arXiv preprint arXiv:2105.10118, 2021	14	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, ... Protein Interaction Networks 21 (1), 2022	5	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	3	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
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, 2022		2022
What to Expect of Classifiers? P Khosravi, Y Liang, YJ Choi, G Van den Broeck

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