This workshop will take place at University of Michigan Ann Arbor on October 21-22, 2022. We aim to bring together researchers to disseminate and discuss their recent work on statistical machine learning theory, methods, and applications for analyzing large-scale data. For students and postdocs, stay tuned for an announcement on a poster competition!
PROGRAM BOOK
To be announced
CONFIRMED SPEAKERS
Martin Wainwright (Massachusetts Institute of Technology)
Annie Qu (University of California at Irvine)
Xiaotong Shen (University of Minnesota)
Boaz Nadler (Weizmann Institute of Science)
Yingying Fan (University of Southern California)
Pei Wang (Icahn School of Medicine at Mount Sinai)
Ming Yuan (Columbia University)
Limin Peng (Emory University)
Mladen Kolar (University of Chicago Booth School of Business)
Grace Hong (National Cancer Institute)
Xi Chen (New York University Stern School of Business)
Yong Chen (University of Pennsylvania)
Emma Zhang (Miami Herbert Business School)
Zhuoran Yang (Yale University)
ORGANIZING COMMITTEE
Kean Ming Tan (co-chair)
Ziwei Zhu (co-chair)
Xuming He
CONTACT US
For any workshop related questions, please do not hesitate to contact Kean Ming Tan (keanming@umich.edu) or Ziwei Zhu (ziweiz@umich.edu).