On statistical learning through the lens of machine learning
Category: Women in Statistics
In this session, five speakers will showcase novel findings and cutting-edge achievements in statistical data analysis under the framework of machine learning. Specifically, they will discuss the robust estimation in regression and classification methods for large dimensional data, optimal estimation under endogenous treatment assignment, robust sensible adversarial learning of deep neural networks for image classification. Last but not least, time zigzags at graph convolutional networks for time series forecasting and invertible neural networks for graph prediction will also be presented.