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Alternating Direction Method of Multipliers for Machine Learning

Cover von Alternating Direction Method of Multipliers for Machine Learning

Lin, Zhouchen/Li, Huan/Fang, Cong

Springer Verlag GmbH

149.79

(inklusive MwSt.)

Verfügbarkeit: Besorgungstitel, Festbezug

Autorenportrait

Zhouchen Lin is a leading expert in the fields of machine learning and optimization. He is currently a professor with the Key Laboratory of Machine Perception (Ministry of Education), School of Artificial Intelligence, Peking University. Prof. Lin served as an area chair many times for prestigious conferences, including CVPR, ICCV, NIPS/NeurIPS, ICML, ICLR, IJCAI and AAAI. He is a Program Co-Chair of ICPR 2022 and a Senior Area Chair of ICML 2022. Prof. Lin is an associate editor of the International Journal of Computer Vision and the Optimization Methods and Software. He is a Fellow of CSIG, IAPR and IEEE.Huan Li received a doctoral degree in machine learning from Peking University in 2019. He is currently an assistant researcher at the School of Artificial Intelligence, Nankai University. His research interests include optimization and machine learning. Cong Fang received a doctoral degree in machine learning from Peking University in 2019. He is currently an assistant professor at the School of Artificial Intelligence, Peking University. His research interests include optimization and machine learning.

Weitere Details

Erschienen: 16.06.2022

Umfang: xxiii, 263 S., 1 s/w Illustr., 263 p. 1 illus.

Sprache: ENG

Einband: GEB

ISBN/EAN: 9789811698392

Umbreit-Nr.: 3216643

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