2021
Student Seminar: Enakshi Saha
2:00–3:00 pm Via ZOOM
Dissertation Presentation and Defense
ENAKSHI SAHA, Department of Statistics, The University of Chicago
“Flexible Bayesian Methods for High Dimensional Data”
Student Seminar: Charles Perkins
2:00–2:30 pm Via Zoom
Master’s Thesis Presentation
CHARLES PERKINS, Department of Statistics, The University of Chicago
“Exploring Hyperparameters of Energy-Based Models”
Statistics Colloquium: Afonso Bandeira
4:00–5:00 pm Via Zoom
AFONSO S. BANDEIRA, Department of Mathematics, ETH Zürich
“Computational Hardness of Hypothesis Testing and Quiet Plantings”
Student Seminar: (Adam) Yan Zhang
9:20–9:50 am Via Zoom
Master’s Thesis Presentation
(ADAM) YAN ZHANG, Department of Statistics, The University of Chicago
“Modeling Ecological Momentary Assessment Data Using MixedEffects Location-Scale Model and Time Varying Effects Model”
Statistics Colloquium: Peter Buhlmann
4:00–5:00 pm Via Zoom
PETER BÜHLMANN, Department of Mathematics, ETH Zürich
“Deconfounding”
Statistics Colloquium: Stephen Bates
4:00–5:00 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
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”