Modern Statistical and Machine Learning Methods for Big Data
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. This event is co-sponsored by the Department of Statistics and Department of Biostatistics at University of Michigan.
Registration is now closed due to space constraints! The workshop will hold a banquet dinner in October 21st at 630pm-830pm. Due to space constraints, registration for the banquet dinner is also closed!
The Banquet Dinner and Poster Presentation will be held at Michigan Union Rogel Ballroom (2nd floor).
Waverly Wei, joint work with Jingshen Wang Saptarshi Roy, joint work with Ziwei Zhu and Ambuj Tewari Yumeng Wang, joint work with Ziwei Zhu Shihao Wu, joint work with Wen Wang, Ziwei Zhu, Ling Zhou and Peter Song Yijun Li, joint work with Jian Kang
Martin Wainwright (Massachusetts Institute of Technology)
Rebecca Hubbard (University of Pennsylvania)
Annie Qu (University of California at Irvine)
Hongyu Zhao (Yale University)
Chunming Zhang (University of Wisconsin Madison)
Boaz Nadler (Weizmann Institute of Science)
Jinchi Lv (University of Southern California)
Pei Wang (Icahn School of Medicine at Mount Sinai)
Ming Yuan (Columbia University)
Wen-Xin Zhou (University of California, San Diego)
Limin Peng (Emory University)
Mladen Kolar (University of Chicago Booth School of Business)
For any workshop related questions, please do not hesitate to contact Kean Ming Tan (firstname.lastname@example.org). For questions regarding to the student poster competition, please contact Shushu Zhang (email@example.com) or Chang Wang (firstname.lastname@example.org).