On the Practical Robustness of the Nesterov’s Accelerated Quasi-Newton Method

Indrapriyadarsini Sendilkkumaar, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai

[AAAI-22] Doctoral Consortium

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Poster Session 3 @ Red 4, Poster Session 4 @ Red 4, Poster Session 3, Poster Session 4

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Abstract: This study focuses on the Nesterov's accelerated quasi-Newton (NAQ) method in the context of deep neural networks (DNN) and its applications. The thesis objective is to confirm the robustness and efficiency of Nesterov's acceleration to quasi-Netwon (QN) methods by developing practical algorithms for different fields of optimization problems.

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    Fri, February 25 8:45 AM - 10:30 AM (+00:00)
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