How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization - researchr publication authors

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Shivam Garg, Santosh S. Vempala. How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization. In Gustau Camps-Valls, Francisco J. R. Ruiz, Isabel Valera, editors, International Conference on Artificial Intelligence and Statistics, AISTATS 2022, 28-30 March 2022, Virtual Event. Volume 151 of Proceedings of Machine Learning Research, pages 4070-4108, PMLR, 2022. [doi]

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