【会议信息】Mathematical Machine Learning and Applications, CCMA, Penn State, Apr 2020

【会议信息】Mathematical Machine Learning and Applications, CCMA, Penn State, Apr 2020

Year:    2020

CAM-Net Digest, Vol. 17 (2020), Iss. 3 : p. 4

Abstract

The Workshop on Mathematical Machine Learning and Applications will be held by the Center for Computational Mathematics and Applications (CCMA) at Penn State on April 26-29, 2020, see https://ccma.math.psu.edu/2020workshop/

This workshop aims to bring together active scientists in the emerging field of data science to discuss recent advances in the study of algorithm development, theoretical analysis and applications of machine learning. Of particular interest are research topics concerned with the interplay between computer science, statistics, scientific computing, mathematical analysis,  and applications of deep neural networks. As part of the meeting, Prof. George Karniadakis and Prof. Jinchao Xu will deliver introductory lectures on the mathematics of deep learning with junior participants as the target audiences.

Confirmed Invited Speakers Include: 
Tyrus Berry (George Mason), Gregery T. Buzzard (Purdue), Eric Darve (Stanford), Bin Dong (PKU), Weinan E (Princeton), Dimitris Giannakis (Courant), C. Lee Giles (Penn State), John Harlim (Penn State), Thomas Y. Hou (Caltech), George Karniadakis (Brown), Stanley Osher (UCLA), Zuowei Shen (NUS), Zuoqiang Shi (Tsinghua), Aarti Singh (CMU), Andrew Stuart (Caltech), John Urschel (MIT), Rachel Ward (UT Austin), Lin Xiao (Microsoft).

More details on the registration information and possible travel support for junior participants (pending to NSF grant approval) is available at https://ccma.math.psu.edu/2020workshop/


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Journal Article Details

Publisher Name:    Global Science Press

Language:    Multiple languages

DOI:    https://doi.org/2020-CAM-14853

CAM-Net Digest, Vol. 17 (2020), Iss. 3 : p. 4

Published online:    2020-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    1

Keywords: