2023
Student Seminar: Samuel Wheeler
1:00–1:30 pm Via Zoom
Master’s Thesis Presentation
Samuel Wheeler, Department of Statistics, The University of Chicago
“Exploring Token-to-Token Interactions in Self Attention”
Student Seminar: Misha Sohan
9:00–9:30 am Via Zoom
Master’s Thesis Presentation
Misha Sohan, Department of Statistics, The University of Chicago
“Self-Supervised Learning: Pre-Training with Denoising Autoencoders Using Layer-wise Learning”
Student Seminar: Taiga Morioka
9:00–9:30 am Via Zoom
Master’s Thesis Presentation
Taiga Morioka, Department of Statistics, The University of Chicago
“Simulating Acoustic Wave Propagation Using 3D-Printed Topographic Models”
Student Seminar: Daniel Xiang
3:00–4:30 pm Jones 303
PhD Dissertation Presentation
Daniel Xiang, Department of Statistics, The University of Chicago
“Testing on the Edge”
Student Seminar: Dongyue Xie
10:00–11:30 am Jones 303
PhD Dissertation Presentation
Dongyue Xie, Department of Statistics, The University of Chicago
“Empirical Bayes methods for analyzing sequencing count data”
Student Seminar: Kevin Wang
3:30–4:00 pm Jones 303
Master’s Thesis Presentation
Kevin Wang, Department of Statistics, The University of Chicago
“Universality of Neural Networks over Finite Fields”
CAM Colloquium: Jonathan Weare
4:00–5:00 pm Jones 303
TUESDAY, June 6, 2023, AT 4:00 PM, in Jones 303, 5747 S. Ellis
JONATHAN WEARE, Courant Institute of Mathematical Sciences, New York University
“Iterative Random Sparsification and Convergence of a Fast Randomized Jacobi Iteration”
CAM Colloquium: Kim-Chuan Toh
9:30–10:30 am Jones 303
KIM-CHUAN TOH, Department of Mathematics and Institute of Operations Research and Analytics, National University of Singapore
“Algorithms for Semidefinite Programming”
CAM and Stats Masters Students End of Year Picnic
5:00–7:00 pm Promontory Point
CAM and Stats MASTERS Students End of Year Picnic at the Point.
Student Seminar: Omar Ghattas
4:00–5:30 pm Jones 111
Dissertation Proposal Presentation
OMAR GHATTAS, Department of Statistics, The University of Chicago
“Non-Asymptotic Analysis of Ensemble Kalman Updates”