Deep Learning Methods in Advanced Statistical Problems

Music City Center 

Room: CC-107A 

This short course is designed for researchers in statistics and data analysis who are eager to explore the latest trends in deep learning and apply these methods to solve complex statistical problems. The course delves into the intersection of deep learning and statistical analysis, covering topics familiar to statisticians such as time series analysis, survival analysis, and quantile regression. Additionally, it addresses cutting-edge topics in the deep learning community, including transformers, diffusion models, and large language models. In this one-day short course participants will gain hands-on experience in exploring and applying deep learning methodologies to tackle various statistical challenges.