2022
Student Seminar: Qing Yan
10:00–11:30 am NOW REMOTE ONLY!
Dissertation Presentation and Defense
QING YAN, Department of Statistics, The University of Chicago
“Deep Generative Model: Design, Improve and Apply”
Statistics Colloquium: Guido Montufar
4:30–5:30 pm Via Zoom
GUIDO MONTÚFAR, Departments of Mathematics and Statistics, University of California, Los Angeles
“The Geometry of Memoryless Stochastic Policy Optimization in Infinite-Horizon POMDPs”
Bahadur Memorial Lectures: Michael A. Newton
3:30–4:30 pm Jones 303
Lecture 21
Reception before the seminar in Jones 304.
MICHAEL A. NEWTON, Department of Statistics, University of Wisconsin
“Can clustering improve the performance of large-scale hypothesis testing? Ideas from an empirical Bayes lab”
Student Seminar: Yi Liu
3:00–5:30 pm Jones 304
Dissertation Presentation and Defense
YI LIU, Department of Statistics, The University of Chicago
“Non-parametric Bayesian Inference with Application to System Biology”
Statistics Colloquium: Ismael Castillo
12:30–1:30 pm Via Zoom -- PLEASE NOTE DIFFERENT TIME!
ISMAEL CASTILLO, Laboratoire de Probabilités, Statistique et Modélisation, Sorbonne Université
“Bayesian Multiple Testing with Spike and Slab Priors”
DSI Events: Udit Gupta
2:00–3:00 pm JCL 390
Data Science Institute/Computer Sciences Candidate Seminar
UDIT GUPTA, PhD student, Harvard University
“Faster, Smarter, and Greener Systems for Data-Center Scale AI”
DSI Events: Alane Suhr
3:00–4:00 pm REMOTE ONLY
Data Science Institute/Computer Science Candidate Seminar
ALANE SUHR, Department of Computer Science, Cornell University
“Reasoning and Learning in Interactive Natural Language Systems”
Statistics Colloquium: Aaron Schein
4:30–5:30 pm In-Person and Live Stream or Zoom
Data Science Institute/Computer Science/Statistics Candidate Seminar
AARON SCHEIN, Postdoctoral Fellow, Columbia University
“Measurement and Experimentation in Complex Sociopolitical Processes”
Host: Victor Veitch
Student Seminar: Lijia Zhou
3:30–4:30 pm Jones 304
Dissertation Proposal Presentation
LIJIA ZHOU, Department of Statistics, The University of Chicago
“A Non-asymptotic Moreau Envelope Theory for Generalized Linear Models”