2023
Autumn 2023 Distinguished Speaker Series: Maryam Fazel
12:00–1:30 pm JCL 390
Presented by the Data Science Institute in partnership with the Departments of Statistics, Computer Science, and the Committee on Computational and Applied Mathematics
Maryam Fazel, Moorthy Family Professor of Electrical and Computer Engineering at the University of Washington
“Flat Minima and Generalization in Learning: the Case of Low-rank Matrix Recovery”
CAM Colloquium: Anna Seigal
4:00–5:00 pm Jones 303
Anna Seigal, School of Engineering and Applied Sciences, Harvard University
“Factorising data”
Big Data and Machine Learning in Econometrics, Finance, and Statistics
Through October 7, 2023 Eckhardt Research Center, Room 161
This conference is made possible by the generous philanthropy of University of Chicago Trustee Steve G. Stevanovich and the Financial Mathematics Program.
CAM Colloquium: Pedram Hassanzadeh
4:00–5:00 pm Jones 303
Pedram Hassanzadeh, Department of Mechanical Engineering, Department of Earth, Environmental, and Planetary Sciences, Rice University
“Integrating the spectral analyses of neural networks and nonlinear physics for explainability, generalizability, and stability”
Student Seminar: Kai Gong
10:30–11:00 am Jones 303
Wednesday, October 4, 2023, at 10:30 AM, in Jones 303, 5747 S. Ellis Avenue
Master’s Thesis Presentation
Kai Gong, Department of Statistics, The University of Chicago
“Comparison of Optimization Algorithms and Potential Improvement of ADAM Based on Time-Series”
AI+Science Initiative Speaker Series: Yuehaw Khoo
4:30–6:00 pm William Eckhardt Research Center, Room 401
Yuehaw Khoo, Department of Statistics, The University of Chicago
“Randomized tensor-network algorithms for random data in high-dimensions”
CAM and Stats Student Seminar: Subhodh Kotekal
12:30–1:30 pm Jones 303
Subhodh Kotekal, Department of Statistics, University of Chicago
“Optimal Heteroskedasticity Testing in Nonparametric Regression”
Statistics Colloquium: Ryan Tibshirani
11:30 am–12:30 pm Jones 303
Ryan Tibshirani, Department of Statistics, University of California- Berkeley
“How many parameters does your interpolator use? Revisiting degrees of freedom in the wake of overparametrized machine learning”
Takintayo Akinbiyi memorial award ceremony
11:15–11:30 am Jones 303
Please join us in Jones 303 as we present the second annual Takintayo Akinbiyi Memorial Award for Academic Excellence in Statistics.
CAM Colloquium: Jeremy Hoskins
4:00–5:00 pm Jones 303
Jeremy Hoskins, Department of Statistics, and member of the Committee on Computational and Applied Mathematics (CCAM), University of Chicago
“Title to be announced”