Statistics and Data Science Seminar - Fall 2021

Usually meets Wednesday at 4:00 pm in SEO 636.
DateSpeakerTitle
August 25
(4:00 pm; Zoom)
Organizational Meeting
September 1
September 8
(4:00 pm; Zoom)
Danielle Tucker
University of Illinois, Chicago
Variable Selection for Global Fréchet Regression
September 15
(4:00 pm; Zoom)
Ted Westling
University of Massachusetts, Amherst
Causal Inference with Continuous Exposures
September 22
September 29
(4:00 pm; Zoom)
Xiongtao Dai
Iowa State University
Nonparametric Estimation of Repeated Densities with Heterogeneous Sample Sizes
October 6
(4:00 pm; Zoom)
Hsin-Hsiung Huang
University of Central Florida
Regularized Low-Rank Matrix Regression
October 13
(4:00 pm; Zoom)
Jonathan Niles-Weed
New York University
Towards practical estimation of Brenier maps
October 20
(4:00 pm; Zoom)
Yanxi Liu
University of Illinois, Chicago
Information-based Optimal Subdata Selection for Clusterwise Linear Regression Model
October 27
(4:00 pm; Zoom)
Youjin Lee
Brown University
Evidence factors from multiple, possibly invalid, instrumental variables
November 3
(4:00 pm; Zoom)
Bei Jiang
University of Alberta
Balancing Inferential Integrity and Disclosure Risk via Model Targeted Masking and Multiple Imputation
November 10
(4:00 pm; Zoom)
Pang Du
Viginia Tech
Minimax Nonparametric Multi-sample Test Under Smoothing
November 17
(4:00 pm; Zoom)
Yuefeng Han
Rutgers University
Subspace learning for high dimensional tensor data
November 24
December 1
(4:00 pm; Zoom)
Cong Ma
University of Chicago
Minimax Off-Policy Evaluation for Multi-Armed Bandits
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