2024
CAM Colloquium: JIANFENG LU
4:30–5:30 pm Jones 303
TUESDAY, MARCH, 26 2024, at 4:30 PM, in Jones 303, 5747 South Ellis Avenue
JIANFENG LU, Mathematics Department, Duke University
“Actor-critic method for solving high dimensional Hamilton-Jacobi-Bellman type PDEs”
Topics
CAM & Statistics Student Seminar: Rohan Hore
12:30–1:30 pm Searle 240A
Tuesday, March 26, 2024, at 12:30 PM, in Searle 240A, 5735 South Ellis Avenue
ROHAN HORE, Department of Statistics, The University of Chicago
“Localized Conformal Prediction with Random Weights: Randomization Enables Robustness”
Topics
CAM Colloquium: SHIWEI ZHANG
4:00–5:00 pm Jones 303
THURSDAY, MARCH 21, 2024, at 4:00 PM, in Jones 303, 5747 South Ellis Avenue
Joint Colloquium with The James Franck Institute
SHIWEI ZHANG, Center for Computational Quantum Physics (CCQ), Flatiron Institute
“Stochastic approaches to quantum any-body problems: challenges and opportunities”
Topics
CAM & Stats Student Seminar: YIFAN PENG
12:30–1:30 pm Searle 240A
Tuesday, March 19, 2024, at 12:30 PM, in Searle 240A, 5735 South Ellis Avenue
YIFAN PENG, Computational and Applied Mathematics, The University of Chicago
“Nonparametric Estimation via Variance-Reduced Sketching”
Topics
CAM Special Colloquium: VITALIY KURLIN
2:00–3:00 pm Eckhart Hall, Room 133
FRIDAY, MARCH 15 2024, at 2:00 PM, in Eckhart Hall, Room 133, 1118 E. 58th Street
Special Colloquium
VITALIY KURLIN, Department of Computer Science and Materials Innovation Factory, University of Liverpool, UK
“A Complete and Continuous Isometry Invariant of Euclidean Clouds of Unordered Points”
Topics
Student Research Poster Day
4:00–5:00 pm Jones 303
We invite all students (Stat and CAM) and faculty to the Student Research Poster Day event hosted by the Committee on Community, Equity, Diversity, and Inclusion (CCEDI). Selected student research posters will be installed in Jones 303 from 4:00 pm to 5:00 pm on February 27, and everyone is welcome to come and look around; light snacks will be provided!
Call for posters
We invite submissions of all research posters from Stat and CAM students. There is no restriction on the topic; you are welcome to submit any research work done during your graduate program (Stat/CAM, PhD/MS) though we suggest submitting recent research. There will be awards with prizes for the best posters.
Submit proposals
Please submit your poster proposal by February 1 through https://forms.office.com/r/mC60sNFiji (UChicago sign-in required). We will announce the selected proposals on February 2. Once your proposal is selected, you should email your final poster by February 26. We will print and install posters for you; we will cover the printing cost.
Please email yoonhaenghur@uchicago.edu if you have any questions.
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CAM & Stats Student Seminar: JIMMY LEDERMAN
12:30–1:30 pm Searle 240A
Tuesday, February 27, 2024, at 12:30 PM, in Searle 240A (location change this quarter), 5735 South Ellis Avenue
JIMMY LEDERMAN, Department of Statistics, The University of Chicago
“Modeling Underdispersion in Matrix Factorization with Poisson Maxima”
Topics
CAM & Stats Student Seminar: JOHN HOOD
12:30–1:30 pm Searle 240A
Tuesday, February 20, 2024, at 12:30 PM, in Searle 240A (location change this quarter), 5735 South Ellis Avenue
JOHN HOOD, Department of Statistics, The University of Chicago
“The Allocore Tensor Decomposition”
Topics
Statistics Lunar New Year Party
11:30 am–1:15 pm Jones 303 & Jones 304
Statistics Lunar New Year Party
Jointly hosted with CAM
Friday, February 16, 2024, 11:00 am-2:00 pm, Jones 303 and 304.
Come join us in celebrating the Year of the Dragon.
The Year of the Dragon falls on Saturday, February 10th, 2024, and celebrations culminate with the Lantern Festival on February 24th, 2024.
Celebrations last up to 16 days, but only the first 7 days are considered a public holiday (February 10th–February 16th, 2024).
Topics
CAM & Stats Student Seminar: SUZANNA PARKINSON
12:30–1:30 pm Searle 240A
Tuesday, February 13, 2024, at 12:30 PM, in Searle 240A (location change this quarter), 5735 South Ellis Avenue
SUZANNA PARKINSON, Computational and Applied Mathematics, The University of Chicago
“Depth Separation of Neural Networks in Learning”