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Raghunandan Keshavan
Raghunandan Keshavan
Electrical Engineering, Stanford Univeristy
Verified email at stanford.edu
Title
Cited by
Cited by
Year
Matrix completion from a few entries
RH Keshavan, A Montanari, S Oh
IEEE transactions on information theory 56 (6), 2980-2998, 2010
15002010
Matrix completion from noisy entries
R Keshavan, A Montanari, S Oh
Advances in neural information processing systems 22, 2009
8642009
A gradient descent algorithm on the grassman manifold for matrix completion
RH Keshavan, S Oh
arXiv preprint arXiv:0910.5260, 2009
1452009
Efficient algorithms for collaborative filtering
RH Keshavan
Stanford University, 2012
692012
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
442009
Regularization for matrix completion
RH Keshavan, A Montanari
2010 IEEE International Symposium on Information Theory, 1503-1507, 2010
272010
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, 2024
242024
Learning low rank matrices from O (n) entries
RH Keshavan, A Montanari, S Oh
2008 46th Annual Allerton Conference on Communication, Control, and …, 2008
172008
Matrix Completion from Noisy Entries, 2009
RH Keshavan, A Montanari, S Oh
Preprint available at http://arxiv. org/abs/0906.2027, 0
6
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
22009
Optspace: a matrix completion algorithm
RH Keshavan, A Montanari, S Oh
httn://weh. en2T. illinois. edulswoh/software/ontsnace/code. html, 0
2
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, E Chi, ...
arXiv preprint arXiv:2306.08121, 2023
2023
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