Volgen
Raghunandan Keshavan
Raghunandan Keshavan
Electrical Engineering, Stanford Univeristy
Geverifieerd e-mailadres voor stanford.edu
Titel
Geciteerd door
Geciteerd door
Jaar
Matrix completion from a few entries
RH Keshavan, A Montanari, S Oh
IEEE transactions on information theory 56 (6), 2980-2998, 2010
15662010
Matrix completion from noisy entries
R Keshavan, A Montanari, S Oh
Advances in neural information processing systems 22, 2009
8792009
A gradient descent algorithm on the grassman manifold for matrix completion
RH Keshavan, S Oh
arXiv preprint arXiv:0910.5260, 2009
1462009
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
1112023
Efficient algorithms for collaborative filtering
RH Keshavan
Stanford University, 2012
682012
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
462009
Regularization for matrix completion
RH Keshavan, A Montanari
2010 IEEE International Symposium on Information Theory, 1503-1507, 2010
262010
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
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
102017
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
82023
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
72024
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
52024
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
Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.
Artikelen 1–17