2022
DSI Autumn 2022 Distinguished Speaker Series: Jordan Boyd-Graber
12:00–1:30 pm JCL 390
This talk will also be broadcast via Zoom. Please register to receive viewing information.
JORDAN BOYD-GRABER, University of Maryland
“If We Want AI to be Interpretable, We Need to Define and Measure It”
CAM Colloquium: Benjamin Recht
4:00–5:00 pm Jones 303
BENJAMIN RECHT, Department of Electrical Engineering and Computer Science, University of California, Berkeley
“Steampunk Data Science”
Student Seminar: Weishi Wang
2:00–2:30 pm Jones 303
Master’s Thesis Presentation
WEISHI WANG, Department of Statistics, The University of Chicago
“GAN-MC: a Variance Reduction Tool for Derivatives Pricing”
Statistics Colloquium: Kathryn Roeder
4:30–5:30 pm Jones 303
KATHRYN ROEDER, Department of Statistics, Carnegie Mellon University
“Model-free prediction test and distribution-free independence test for high dimension data with applications to genomics data”
Student Seminar: Xueqing Wei
11:00–11:30 am Via Zoom
Master’s Thesis Presentation
XUEQING WEI, Department of Statistics, The University of Chicago
“Different Methods for Dynamic Extreme Value-at-Risk Estimation”
CAM Colloquium: Nan Chen
4:00–5:00 pm Jones 303
NAN CHEN, Department of Mathematics, University of Wisconsin-Madison
“A Physics-Informed Data-Driven Algorithm for Ensemble Forecast of Complex Turbulent Systems”
Statistics Colloquium: Hongtu Zhu
4:30–5:30 pm Jones 303
HONGTU ZHU, Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina
“Statistical Analysis of Shape Data in Large-Scale Biomedical Studies”
Student Seminar: Zhuoying Huang
11:00–11:30 am Via Zoom
Master’s Thesis Presentation
ZHUOYING HUANG, Department of Statistics, The University of Chicago
“Mark to Market Value at Risk”
DSI Autumn 2022 Distinguished Speaker Series: Stefanie Jegelka
12:00–1:00 pm JCL 390
STEFANIE JEGELKA, X-Consortium Career Development Associate Professor, EECS Massachusetts Institute of Technology
“Understanding Generalization and Improving Invariances in Graph Representation Learning”
DSI Events: Human + AI Conference
9:00 am–5:30 pm JCL 390
This conference brings together diverse perspectives to think about the best way for AI to fit into society and how to develop the best AI for humans.