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Pasha Khosravi
Pasha Khosravi
Researcher at LinkedIn
Adresă de e-mail confirmată pe linkedin.com - Pagina de pornire
Titlu
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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
552019
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
552019
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
422020
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
352021
Probabilistic sufficient explanations
E Wang, P Khosravi, GV Broeck
arXiv preprint arXiv:2105.10118, 2021
292021
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
72022
Towards probabilistic sufficient explanations
E Wang, P Khosravi, G Van den Broeck
Extending Explainable AI Beyond Deep Models and Classifiers Workshop at ICML …, 2020
62020
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
22023
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
12022
What to Expect of Classifiers?
P Khosravi, Y Liang, YJ Choi, G Van den Broeck
Reasoning about Logistic Regression with Missing Features. arXiv, 2019
12019
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
biological network alignment
AD Kanne, P Khosravi, WB Hayes
Protein Interaction Networks 131, 1, 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
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Articole 1–14