2021
Statistics Colloquium: Stephen Bates
4:00–5:00 pm Via Zoom
MONDAY, April 12, 2021, at 4:00 PM, Via Zoom
STEPHEN BATES, Departments of Statistics and EECS, UC Berkeley
“Distribution-Free, Risk-Controlling Prediction Sets”
Statistics Colloquium: Vladimir Vovk
12:00–1:00 pm Via Zoom
MONDAY, April 5, 2021, at 12:00 PM, Via Zoom
VLADIMIR VOVK, Centre for Reliable Machine Learning and Department of Computer Science, Royal Holloway, University of London
“Conformal Prediction and Testing”
Statistics Colloquium: Bhaswar B. Bhattacharya
4:00–5:00 pm Via Zoom
BHASWAR B. BHATTACHARYA, Statistics Department, University of Pennsylvania
“Detection Thresholds for Distribution-Free Non-Parametric Tests: The Curious Case of Dimension 8”
Statistics Colloquium: Zhuoran Yang
2:00–3:00 pm Via Zoom
NOTE: Seminar begins at 2:00 PM!
Joint Seminar with the Department of Computer Science
ZHUORAN YANG, Department of Operations Research and Financial Engineering, Princeton University
“Demystifying (Deep) Reinforcement Learning: The Pessimist, The Optimist, and Their Provable Efficiency”
Student Seminar: Daniel Xiang
2:00–3:00 pm Via Zoom
Dissertation Proposal Presentation
DANIEL XIANG, Department of Statistics, The University of Chicago
“Statistical Sparsity in Detection and Large Scale Testing Problems”
Statistics Colloquium: Sumit Mukhurjee
4:00–5:00 pm Via Zoom
SUMIT MUKHERJEE, Department of Statistics, Columbia University
“Global Testing for Dependent Bernoullis”
Student Seminar: Zeqi Mao
4:30–5:30 pm Via Zoom
Master’s Thesis Presentation
ZEQI MAO, Department of Statistics, The University of Chicago
“Online Covariance Matrix Estimation in Stochastic Gradient Descent with Application in Music Recognition”
Student Seminar: Juxian Wang
1:00–2:00 pm Via Zoom
Master’s Thesis Presentation
JUXIAN WANG, Department of Statistics, The University of Chicago
“Contrastive Learning with Computer-Generated Images”
Student Seminar: Jiongyi Cao
9:30–10:30 am Via Zoom
Master’s Thesis Presentation
JIONGYI CAO, Department of Statistics, The University of Chicago
“An Application of a Two-stage Mixed-Effects Location-Scale Model with Machine Learning”
Student Seminar: Isabela Kernin
2:00–2:30 pm Via Zoom
Master’s Thesis Presentation
ISABELA KERNIN, Department of Statistics, The University of Chicago
“Exploring Host Response to SARS-CoV-2 Through Differential Expression Analysis”