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BIMSA Thursday Machine Learning Applications Seminar
Recent theoretical advances in non convex optimization
Recent theoretical advances in non convex optimization
Organizers
Speaker
Time
Thursday, December 15, 2022 2:00 PM - 4:00 PM
Venue
1129B
Online
Zoom 537 192 5549
(BIMSA)
Abstract
In this report, we give an overview of recent theoretical results on global performance guarantees of optimization algorithm for non convex optimization about deep neural network and data analysis.
Speaker Intro
Jiao Xiaopei graduated with a bachelor's degree from the Zhi Yuan College of Shanghai Jiao Tong University (Physics Department) in 2017 and obtained his PhD from the Department of Mathematical Sciences at Tsinghua University in 2022, under the guidance of Professor Stephen Shing-Toung Yau (IEEE Fellow, former tenured professor at the University of Illinois at Chicago). He has conducted postdoctoral research at the Beijing Institute of Mathematica Science and Application and at the University of Twente in the Netherlands (under the guidance of Professor Johannes Schmidt-Hieber, Fellow of the Institute of Mathematical Statistics). His current research interests include control theory, numerical partial differential equations, and bioinformatics.