This talk contains two parts: In the first part, I will present some recent work on developing partial differential equation principled robust neural architecture and optimization algorithms for robust, accurate, private, and efficient deep learning. In the second part, I will discuss some recent progress on leveraging Nesterov accelerated gradient style momentum for accelerating deep learning, which again involves designing stochastic optimization algorithms and mathematically principled neural architecture.
5月7日
10:30am - 12:00pm

地點
https://hkust.zoom.us/j/5616960008
講者/表演者
Dr. Bao WANG
UCLA and Utah University
UCLA and Utah University
主辦單位
Department of Mathematics
聯絡方法
mathseminar@ust.hk
付款詳情
對象
Alumni, Faculty and Staff, PG Students, UG Students
語言
英語
其他活動

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研討會, 演講, 講座
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Abstract
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研討會, 演講, 講座
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Abstract
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