Special Session 59: Interplays between Statistical Learning and Optimization
Organizer(s): Qiang Wu , Xuemei Chen , Yiming Ying

Parallel Session 8 :: Friday, June 2, 16:30 – 19:00                     LH110
16:30-17:00	Qiang Wu (Middle Tennessee State University, USA)  An introduction to distributed machine learning

17:00-17:30

Yiming Ying (State University of New York at Albany, USA)  Learning Theory for Contrastive Representation Learning

17:30-18:00

Yunlong Feng (SUNY Albany, USA)  On learning with bounded loss functions

Parallel Session 9 :: Saturday, June 3, 08:00 – 09:30                     LH110
8:00-8:30	Nicholas F Marshall (Oregon State University, USA)  Learning rates, corrupted linear systems, and randomized Kaczmarz

8:30-9:00

Alex Powell (Vanderbilt University, USA)  Dynamical sampling: dynamical duals and quantization

9:00-9:30

Shu Liu (Middle Tennessee State University, USA)  Pairwise Learning for Imbalanced Data Classification

Parallel Session 10 :: Saturday, June 3, 14:00 – 16:00                     LH110
14:00-14:30	Ebenezer Oluwasakin (Middle Tennessee State University, USA)  Data-driven Deep Learning Neural Networks for Predicting the Number of Individuals Infected by COVID-19 Omicron Variant

14:30-15:00

Tian-Yi Zhou (Georgia Institute of Technology, USA)  Learning Ability of Interpolating Deep Convolutional Neural Networks

15:00-15:30

Matthew B Ogden (Middle Tennessee State University, USA)  Exploring Dynamical Parameters of Interacting Galaxies Using Deep Learning and Optimization

15:30-16:00

Xingping Sun (Missouri State University, USA)  Kernel Interpolation of high dimensional scatter data