2020
Statistics Colloquium: Arun Kumar Kuchibhotla
4:00–5:00 pm Jones 303
ARUN KUMAR KUCHIBHOTLA, Statistics Department, The Wharton School, The University of Pennsylvania
“Valid Post-selection Inference: Why and How”
Statistics Colloquium: Victor Veitch
4:00–5:00 pm Jones 303
VICTOR VEITCH, Department of Statistics, Columbia University
“Adapting Black-box Machine Learning Methods for Causal Inference”
Statistics Colloquium: Franca Hoffmann
4:00–5:00 pm Jones 303
Joint Seminar with CAM
FRANCA HOFFMAN, Department of Computing and Mathematical Sciences, California Institute of Technology
“Gradient Flows: From PDE to Data Analysis”
Statistics Colloquium: Yi Sun
4:00–5:00 pm Jones 303
YI SUN, Department of Mathematics, Columbia University
“TBA”
Student Seminar: Shentao Yang
3:00–4:00 pm Jones 111
Master’s Thesis Presentation
SHENTAO YANG, Department of Statistics, The University of Chicago
“Beating the Market with Machine-Learning”
Student Seminar: Jason Willwerscheid
1:30–2:30 pm Jones 303
PhD Dissertation Proposal
JASON WILLWERSCHEID, Department of Statistics, The University of Chicago
“Empirical Bayes Matrix Factorization: Methods and Applications”
Student Seminar: Lei Sun
10:00 am–12:00 pm Jones 303
Dissertation Presentation and Defense
LEI SUN, Department of Statistics, The University of Chicago
“Topics on the Empirical Bayes Normal Means Problem”
Statistics Colloquium: Claire Donnat
4:00–5:00 pm Jones 303
CLAIRE DONNAT, Statistics Department, Stanford University
“Quantifying Uncertainty in Complex Systems with Applications to Brain Connectomics”
Statistics Colloquium: Cong Ma
4:00–5:00 pm Jones 303
CONG MA, Department of Operations Research and Financial Engineering, Princeton University
“Statistics Meets Nonconvex Optimization: Computational Efficiency and Uncertainty Quantification”
Statistics Colloquium: Shahar Kovalsky
4:00–5:00 pm Jones 303
Joint Seminar with CAM
SHAHAR KOVALSKY, Department of Mathematics, Duke University
“Geometry + Optimization: Towards Computational Anatomy”