Upcoming Speakers

The lottery ticket hypothesis for gigantic pre-trained models

Zhangyang (Atlas) Wang

The University of Texas at Austin

Title: The lottery ticket hypothesis for gigantic pre-trained models

Date/Time: Friday, May 28 2021 - 10:00 am (GMT + 7)

TBD

Tan Bui

The University of Texas at Austin

Title: TBD

Date/Time: Friday, Jun 04 2021 - 10:00 am (GMT + 7)

Previous Talks

Benign Overfitting

Peter Bartlett

University of California, Berkeley

Title: Benign Overfitting

Date/Time: Tuesday, Nov 12 2019 - 10:00 am (GMT + 7)

On optimal transport in machine learning and statistics: Computational, modeling, and theoretical perspectives

Nhat Ho

University of California, Berkeley

Title: On optimal transport in machine learning and statistics: Computational, modeling, and theoretical perspectives

Date/Time: Thursday, Oct 24 2019 - 10:00 am (GMT + 7)

Sequential pattern mining for robust event detection

Antoine Doucet

University of La Rochelle

Title: Sequential pattern mining for robust event detection

Date/Time: Tuesday, Oct 22 2019 - 10:00 am (GMT + 7)

3D face modeling from a single RGB image

Anh Tran

VinAI Research

Title: 3D face modeling from a single RGB image

Date/Time: Saturday, Sep 21 2019 - 10:00 am (GMT + 7)

The Role of Structure Modeling and Multi-task Learning for Neural Information Extraction

Thien Huu Nguyen

VinAI Research

Title: The Role of Structure Modeling and Multi-task Learning for Neural Information Extraction

Date/Time: Wednesday, Sep 18 2019 - 02:00 pm (GMT + 7)

Parameter Estimation & Interpretability in Bayesian Mixture Models

Long Nguyen

University of Michigan

Title: Parameter Estimation & Interpretability in Bayesian Mixture Models

Date/Time: Wednesday, Aug 28 2019 - 10:00 am (GMT + 7)

Learning with Limited Supervision

Stefano Ermon

Stanford University

Title: Learning with Limited Supervision

Date/Time: Friday, Aug 16 2019 - 10:00 am (GMT + 7)

A View in Old & New Machine Learning

Wray Buntine

Monash University, Australia

Title: A View in Old & New Machine Learning

Date/Time: Saturday, Aug 03 2019 - 09:30 am (GMT + 7)