| Matrix completion from a few entries RH Keshavan, A Montanari, S Oh IEEE transactions on information theory 56 (6), 2980-2998, 2010 | 1563 | 2010 |
| Matrix completion from noisy entries R Keshavan, A Montanari, S Oh Advances in neural information processing systems 22, 2009 | 878 | 2009 |
| A gradient descent algorithm on the grassman manifold for matrix completion RH Keshavan, S Oh arXiv preprint arXiv:0910.5260, 2009 | 146 | 2009 |
| Recommender systems with generative retrieval S Rajput, N Mehta, A Singh, R Hulikal Keshavan, T Vu, L Heldt, L Hong, ... Advances in Neural Information Processing Systems 36, 10299-10315, 2023 | 108 | 2023 |
| Efficient algorithms for collaborative filtering RH Keshavan Stanford University, 2012 | 68 | 2012 |
| Low-rank matrix completion with noisy observations: a quantitative comparison RH Keshavan, A Montanari, S Oh 2009 47th Annual Allerton Conference on Communication, Control, and …, 2009 | 46 | 2009 |
| Regularization for matrix completion RH Keshavan, A Montanari 2010 IEEE International Symposium on Information Theory, 1503-1507, 2010 | 26 | 2010 |
| Learning low rank matrices from O (n) entries RH Keshavan, A Montanari, S Oh 2008 46th Annual Allerton Conference on Communication, Control, and …, 2008 | 17 | 2008 |
| H. Chi, and Maheswaran Sathiamoorthy. 2023. Recommender systems with generative retrieval S Rajput, N Mehta, A Singh, RH Keshavan, T Vu, L Heldt, L Hong, Y Tay, ... arXiv preprint arXiv:2305.05065, 0 | 13 | |
| Ranking suggestions based on user attributes SK Sanghai, D Sivakumar, PK Tiwari, RH Keshavan US Patent 9,805,142, 2017 | 10 | 2017 |
| Chi, and Maheswaran Sathiamoorthy. 2023. Better Generalization with Semantic IDs: A case study in Ranking for Recommendations A Singh, T Vu, R Keshavan, N Mehta, X Yi, L Hong, L Heldt, L Wei arXiv preprint arXiv:2306.08121, 2023 | 7 | 2023 |
| Aligning Large Language Models with Recommendation Knowledge Y Cao, N Mehta, X Yi, R Keshavan, L Heldt, L Hong, EH Chi, ... arXiv preprint arXiv:2404.00245, 2024 | 6 | 2024 |
| Matrix Completion from Noisy Entries, 2009 RH Keshavan, A Montanari, S Oh Preprint available at http://arxiv. org/abs/0906.2027, 0 | 6 | |
| Better generalization with semantic ids: A case study in ranking for recommendations A Singh, T Vu, N Mehta, R Keshavan, M Sathiamoorthy, Y Zheng, L Hong, ... Proceedings of the 18th ACM Conference on Recommender Systems, 1039-1044, 2024 | 4 | 2024 |
| Matrix completion from a few entries. 2009 RH Keshavan, A Montanari, S Oh Preprint available at http://arxiv. org/abs/0901.3150, 0 | 3 | |
| Generating random Tanner-graphs with large girth M Bayati, R Keshavan, A Montanari, S Oh, A Saberi 2009 IEEE Information Theory Workshop, 154-157, 2009 | 2 | 2009 |
| Optspace: a matrix completion algorithm RH Keshavan, A Montanari, S Oh httn://weh. en2T. illinois. edulswoh/software/ontsnace/code. html, 0 | 2 | |
