Raghunandan H. Keshavan

According to our database, Raghunandan H. Keshavan authored at least 10 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations.

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

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Aligning Large Language Models with Recommendation Knowledge.

Yuwei Cao, Nikhil Mehta, Xinyang Yi, Raghunandan Hulikal Keshavan, Lukasz Heldt, Lichan Hong, Ed H. Chi, Maheswaran Sathiamoorthy

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

2023

Better Generalization with Semantic IDs: A case study in Ranking for Recommendations.

Anima Singh, Trung Vu, Raghunandan H. Keshavan, Nikhil Mehta, Xinyang Yi, Lichan Hong, Lukasz Heldt, Li Wei, Ed H. Chi, Maheswaran Sathiamoorthy

CoRR, 2023

Recommender Systems with Generative Retrieval.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2010

Matrix completion from a few entries.

Raghunandan H. Keshavan, Andrea Montanari, Sewoong Oh

IEEE Trans. Inf. Theory, 2010

Matrix Completion from Noisy Entries.

Raghunandan H. Keshavan, Andrea Montanari, Sewoong Oh

J. Mach. Learn. Res., 2010

Regularization for matrix completion.

Raghunandan H. Keshavan, Andrea Montanari

Proceedings of the IEEE International Symposium on Information Theory, 2010

2009

A Gradient Descent Algorithm on the Grassman Manifold for Matrix Completion

Raghunandan H. Keshavan, Sewoong Oh

CoRR, 2009

Low-rank matrix completion with noisy observations: A quantitative comparison.

Raghunandan H. Keshavan, Andrea Montanari, Sewoong Oh

Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008

Learning low rank matrices from O(n) entries.

Raghunandan H. Keshavan, Andrea Montanari, Sewoong Oh

Proceedings of the 46th Annual Allerton Conference on Communication, 2008