Join us for an in-depth workshop that delves into the mathematical foundations of machine learning, covering key areas such as optimization, machine learning algorithms, and deep learning. This event brings together leading experts and academics to discuss recent advances, exchange insights, and explore the future directions of these dynamic fields.
Designed for faculty members, Ph.D. students, undergraduates, and local community, this workshop offers a unique opportunity to deepen your understanding, foster collaborations, and engage with a vibrant academic community. Whether you are just starting or are well-versed in the mathematics behind machine learning, this event provides an ideal platform to expand your knowledge and connect with others who are passionate about these transformative technologies.
Don’t miss this opportunity to be part of an inspiring dialogue on the mathematics that powers machine learning!
Speaker:
Arnulf Jentzen - The Chinese University of Hong Kong, Shenzhen & University of Münster
Rujun Jiang - Fudan University
Lin Liu - Shanghai Jiao Tong University
Luo Luo - Fudan University
Xiangfeng Wang - East China Normal University
Ke Wei - Fudan University
Paul Weng - Duke Kunshan University
Zhiqin Xu - Shanghai Jiao Tong University
Yaoyu Zhang - Shanghai Jiao Tong University
Organizers:
Mathieu Laurière, Assistant Professor of Mathematics and Data Science, NYU Shanghai
Shuyang Ling, Assistant Professor of Data Science, NYU Shanghai