STAT-DS Invited Talks

Distributionally Robust Machine Learning with Multi-source Data

Prof. Zijian GUO, Rutgers University

Oct 30, 2023, 10:00-11:00

Tencent Meeting ID: 182-204-009

A General M-estimation Theory in Semi-Supervised Framework

Prof. Yong ZHOU, East China Normal University

Oct 27, 2023, 16:00-17:00

Room 402, Lecture Hall 3

In search of correct settings for ill-posed problems

Prof. Evgeny Tyrtyshnikov, Moscow State University

Oct 25, 2023, 16:00-17:00

Room 226, Business School Building

A Flexible Micro-Randomized Trial Design and Sample Size Considerations

Dr. Jing XU, Duke-NUS Medical School, Singapore

Oct 23, 2023, 16:30-17:30

Room 303, Lecture Hall 3

Selecting Regularization Parameters for Minimization Problems in Imaging

Prof. CHAN Hon Fu Raymond, City University of Hong Kong

Oct 23, 2023, 10:00-11:00

Room 110, Business School Building

Algorithms for Combinatorial and Corrupted Bandits, and Beyond

Dr. Zixin Zhong, University of Alberta

Sep 26, 2023, 09:00-10:00

Tencent Meeting ID: 994-855-230

Efficient estimation and computation for semi/non-parametric models

Prof. Huazhen LIN, Southwestern University of Finance and Economics

Sep 22, 2023, 10:00-11:00

Room 101, Business School Building

High Dimensional Data Recovery

Prof. NG, Michael Kwok-Po, Hong Kong Baptist University

Sep 16, 2023, 10:00-11:00

Room 208, Business School Building

The distribution of Ridgeless least squares interpolators

Prof. Qiyang HAN, Rutgers University

Aug 30, 2023, 15:00-16:00

Room 108, Business School Building

Generalising Dynamic Semiparametric Averaging Forecasting for Time Series with Discrete-valued Response

Prof. Zudi LU, University of Southampton, UK

Aug 28, 2023, 14:30-16:30

Room 301, Lecture Hall 3