Convergence Rates of Stochastic Gradient Descent under Infinite Noise Variance - researchr publication authors

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Hongjian Wang, Mert Gürbüzbalaban, Lingjiong Zhu, Umut Simsekli, Murat A. Erdogdu. Convergence Rates of Stochastic Gradient Descent under Infinite Noise Variance. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 18866-18877, 2021. [doi]

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