Kean Ming Tan, PhD
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Statistics and Machine Learning in the Big Data Era 2022 

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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.   
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For students and postdocs, stay tuned for an announcement on a poster competition!  
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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
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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). 
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