| Recommending what video to watch next: a multitask ranking system Z Zhao, L Hong, L Wei, J Chen, A Nath, S Andrews, A Kumthekar, ... Proceedings of the 13th ACM conference on recommender systems, 43-51, 2019 | 473 | 2019 |
| Unifying logical and statistical AI P Domingos, D Lowd, S Kok, A Nath, H Poon, M Richardson, P Singla Proceedings of the 31st Annual acm/ieee Symposium on Logic in Computer …, 2016 | 172 | 2016 |
| Approximate Lifting Techniques for Belief Propagation P Singla, A Nath, P Domingos Proceedings of the AAAI Conference on Artificial Intelligence, 2014 | 46 | 2014 |
| Efficient Belief Propagation for Utility Maximization and Repeated Inference A Nath, P Domingos Proceedings of the AAAI Conference on Artificial Intelligence, 2010 | 43 | 2010 |
| Learning Relational Sum-Product Networks A Nath, P Domingos Proceedings of the AAAI Conference on Artificial Intelligence, 2015 | 41 | 2015 |
| A Language for Relational Decision Theory A Nath, P Domingos International Workshop on Statistical Relational Learning (SRL), 2009 | 41 | 2009 |
| Learning tractable probabilistic models for fault localization A Nath, P Domingos Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 38 | 2016 |
| Efficient Lifting for Online Probabilistic Inference A Nath, P Domingos Proceedings of the AAAI Conference on Artificial Intelligence, 2010 | 38 | 2010 |
| The alchemy system for statistical relational AI: User manual S Kok, P Singla, M Richardson, P Domingos, M Sumner, H Poon, D Lowd, ... Department of Computer Science and Engineering, University of Washington, 41, 2008 | 29 | 2008 |
| Approximate Lifted Belief Propagation P Singla, A Nath, P Domingos AAAI-10 Workshop on Statistical Relational AI (StaR-AI), 2010 | 27 | 2010 |
| Markov logic: a language and algorithms for link mining P Domingos, D Lowd, S Kok, A Nath, H Poon, M Richardson, P Singla Link Mining: Models, Algorithms, and Applications, 135-161, 2010 | 10 | 2010 |
| Relational learning for system imitation M Richardson, A Nath US Patent 8,862,523, 2014 | 7 | 2014 |
| Bridging the gap: Unpacking the hidden challenges in knowledge distillation for online ranking systems N Khani, L Wei, A Nath, S Andrews, S Yang, Y Liu, P Abbo, M Kula, ... Proceedings of the 18th ACM Conference on Recommender Systems, 758-761, 2024 | 6 | 2024 |
| Learning Tractable Statistical Relational Models A Nath, P Domingos AAAI-14 Workshop on Statistical Relational AI (StaR-AI), 2014 | 5 | 2014 |
| Counting-MLNs: Learning Relational Structure for Decision Making A Nath, M Richardson Proceedings of the AAAI Conference on Artificial Intelligence, 2012 | 5 | 2012 |
| Learning Multiple Hierarchical Relational Clusterings A Nath, P Domingos ICML-12 Workshop on Statistical Relational Learning, 2012 | 3 | 2012 |
| Zero-shot Cross-domain Knowledge Distillation: A Case study on YouTube Music S Ranganathan, C Lo, B Cunha, N Khani, L Wei, A Nath, S Andrews, ... Proceedings of the Nineteenth ACM Conference on Recommender Systems, 1122-1125, 2025 | 2 | 2025 |
| Selecting User Histories to Generate LLM Users for Cold-Start Item Recommendation N Subbaraman, J Sarai, A Nath, L Hong, L Heldt, L Wei, Z Zhao arXiv preprint arXiv:2511.21989, 2025 | | 2025 |
| Enhancing Online Ranking Systems via Multi-Surface Co-Training for Content Understanding G Zhao, Y Zheng, R Keshavan, L Heldt, Q Sun, F Soldo, L Wei, A Nath, ... Proceedings of the Nineteenth ACM Conference on Recommender Systems, 958-961, 2025 | | 2025 |
| Artificial intelligence system for media item recommendations N Khani, M Kula, J Kahn, A Nath, S Yang, Y Liu, P Abbo, L Wei, ... US Patent App. 19/047,988, 2025 | | 2025 |
Pedro DomingosProfessor of Computer Science and Engineering, University of WashingtonVerified email at cs.washington.edu
