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ORCIDRaghunandan H. Keshavan
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2020 – today
- 2025
[c9]Gwendolyn Zhao
, Yilin Zheng, Raghu Keshavan, Lukasz Heldt, Qian Sun, Fabio Soldo, Li Wei, Aniruddh Nath, Nikhil Khani, Weilong Yang, Dapo Omidiran, Rein Zhang, Mei Chen, Lichan Hong, Xinyang Yi:
Enhancing Online Ranking Systems via Multi-Surface Co-Training for Content Understanding. RecSys 2025: 958-961- [i9]Ruining He, Lukasz Heldt, Lichan Hong, Raghunandan H. Keshavan, Shifan Mao, Nikhil Mehta, Zhengyang Su, Alicia Tsai, Yueqi Wang, Shao-Chuan Wang, Xinyang Yi, Lexi Baugher, Baykal Cakici, Ed H. Chi, Cristos Goodrow, Ningren Han, He Ma, Rómer Rosales, Abby Van Soest, Devansh Tandon, Su-Lin Wu, Weilong Yang, Yilin Zheng:
PLUM: Adapting Pre-trained Language Models for Industrial-scale Generative Recommendations. CoRR abs/2510.07784 (2025) - 2024
- [c8]Yuwei Cao, Nikhil Mehta, Xinyang Yi, Raghunandan Hulikal Keshavan, Lukasz Heldt, Lichan Hong, Ed H. Chi, Maheswaran Sathiamoorthy:
Aligning Large Language Models with Recommendation Knowledge. NAACL-HLT (Findings) 2024: 1051-1066 - [c7]Anima Singh, Trung Vu, Nikhil Mehta, Raghunandan H. Keshavan, Maheswaran Sathiamoorthy, Yilin Zheng, Lichan Hong, Lukasz Heldt, Li Wei, Devansh Tandon, Ed H. Chi, Xinyang Yi:
Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations. RecSys 2024: 1039-1044 - [i8]Yuwei Cao, Nikhil Mehta, Xinyang Yi, Raghunandan H. Keshavan, Lukasz Heldt, Lichan Hong, Ed H. Chi, Maheswaran Sathiamoorthy:
Aligning Large Language Models with Recommendation Knowledge. CoRR abs/2404.00245 (2024) - 2023
- [c6]Shashank Rajput, Nikhil Mehta, Anima Singh, Raghunandan Hulikal Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Q. Tran, Jonah Samost, Maciej Kula, Ed H. Chi, Mahesh Sathiamoorthy:
Recommender Systems with Generative Retrieval. NeurIPS 2023 - [i7]Shashank Rajput, Nikhil Mehta, Anima Singh, Raghunandan H. Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Q. Tran, Jonah Samost, Maciej Kula, Ed H. Chi, Maheswaran Sathiamoorthy:
Recommender Systems with Generative Retrieval. CoRR abs/2305.05065 (2023) - [i6]Anima Singh, Trung Vu, Raghunandan H. Keshavan, Nikhil Mehta, Xinyang Yi, Lichan Hong, Lukasz Heldt, Li Wei, Ed H. Chi, Maheswaran Sathiamoorthy:
Better Generalization with Semantic IDs: A case study in Ranking for Recommendations. CoRR abs/2306.08121 (2023)
2010 – 2019
- 2010
- [j2]Raghunandan H. Keshavan, Andrea Montanari, Sewoong Oh:
Matrix Completion from Noisy Entries. J. Mach. Learn. Res. 11: 2057-2078 (2010) - [j1]Raghunandan H. Keshavan, Andrea Montanari, Sewoong Oh:
Matrix completion from a few entries. IEEE Trans. Inf. Theory 56(6): 2980-2998 (2010) - [c5]Raghunandan H. Keshavan, Andrea Montanari:
Regularization for matrix completion. ISIT 2010: 1503-1507
2000 – 2009
- 2009
- [c4]Raghunandan H. Keshavan, Andrea Montanari, Sewoong Oh:
Low-rank matrix completion with noisy observations: A quantitative comparison. Allerton 2009: 1216-1222 - [c3]Raghunandan H. Keshavan, Sewoong Oh, Andrea Montanari:
Matrix completion from a few entries. ISIT 2009: 324-328 - [c2]Raghunandan H. Keshavan, Andrea Montanari, Sewoong Oh:
Matrix Completion from Noisy Entries. NIPS 2009: 952-960 - [i5]Raghunandan H. Keshavan, Sewoong Oh, Andrea Montanari:
Matrix Completion from a Few Entries. CoRR abs/0901.3150 (2009) - [i4]Raghunandan H. Keshavan, Andrea Montanari, Sewoong Oh:
Matrix Completion from Noisy Entries. CoRR abs/0906.2027 (2009) - [i3]Raghunandan H. Keshavan, Andrea Montanari, Sewoong Oh:
Low-rank Matrix Completion with Noisy Observations: a Quantitative Comparison. CoRR abs/0910.0921 (2009) - [i2]Raghunandan H. Keshavan, Sewoong Oh:
A Gradient Descent Algorithm on the Grassman Manifold for Matrix Completion. CoRR abs/0910.5260 (2009) - 2008
- [c1]Raghunandan H. Keshavan, Andrea Montanari, Sewoong Oh:
Learning low rank matrices from O(n) entries. Allerton 2008: 1365-1372 - [i1]Raghunandan H. Keshavan, Andrea Montanari, Sewoong Oh:
Learning Low Rank Matrices from O(n) Entries. CoRR abs/0812.2599 (2008)
Coauthor Index
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