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On statistical learning through the lens of machine learning

Organiser

Dr Guanqun Cao

Participants

Dr Guanqun Cao (Chair)

Dr Ignacio Segovia-Dominguez (Presenter/Speaker)

Time zigzags at graph convolutional networks for time series forecasting

Dr Yao Xie (Presenter/Speaker)

Neural network based hypothesis tests

Jiwei Zhao (Presenter/Speaker)

Optimal estimation with flexible learning methods under endogenous treatment assignment

PROF. DR. Chunming Zhang (Presenter/Speaker)

Robust estimation in regression and classification methods for large dimensional data

Jungeun Kim (Presenter/Speaker)

Robust sensible adversarial learning of deep neural networks for image classification

Conference

64th ISI World Statistics Congress - Ottawa, Canada

Category: Women in Statistics

Abstract

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.