2024
Statistics Colloquium: Lingfu Zhang
11:30 am–12:30 pm Jones 303
Monday, January 8, 2024, at 11:30 AM, in Jones 303, 5747 South Ellis Avenue
Joint Colloquium with the Committee on Computational and Applied Mathematics (CCAM)
Lingfu Zhang, Department of Statistics, University of California, Berkeley
“Probabilistic Perspective Toward Last Passage Percolation and KPZ”
Statistics Colloquium: Dan Mikulincer
4:00–5:00 pm Jones 303
Thursday, January 4, 2024, at 4:00 PM, in Jones 303, 5747 South Ellis Avenue
Joint Colloquium with the Committee on Computational and Applied Mathematics (CCAM)
Dan Mikulincer, MIT Mathematics
“Diffusion-based probabilistic flows and low distortion mappings”
2023
CAM Colloquium: Nisha Chandramoorthy
4:00–5:00 pm Jones 303
Nisha Chandramoorthy, School of Computational Science and Engineering College of Computing, Georgia Tech
“Rigorous Computation of Linear Response and Sampling”
Statistics Colloquium: Anna Gilbert
4:00–5:00 pm Jones 303
Joint colloquium with The Committee on Computational and Applied Mathematics (CCAM) and the Data Science Institute (DSI)
Anna Gilbert, Department of Electrical Engineering, Yale University
“Project and Forget: Solving Large-Scale Metric Constrained Problems”
AI+Science Schmidt Fellows Speaker Series: Juan de Pablo
4:30–6:00 pm William Eckhardt Research Center, Room 401
Juan de Pablo, Executive Vice President for Science, Innovation, National Laboratories, and Global Initiatives, University of Chicago
“Polymer design in the era of machine learning”
CAM and Stats Student Seminar: Soumyabrata Kundu
12:30–1:30 pm Jones 303
Soumyabrata Kundu, Department of Statistics, The University of Chicago
“Optimal Heteroskedasticity Testing in Random Design”
Student Seminar: An Xie
2:00–2:30 pm Jones 111
Master’s Thesis Presentation
An Xie, Department of Statistics, The University of Chicago
“On two-step estimation of extreme VaR: would incorporating realized measures and bias-adjusted extreme value index estimation boost accuracy?”
Autumn 2023 Distinguished Speaker Series: Q. Vera Liao
12:00–1:30 pm John Crerar Library, Room 390
Q. Vera Liao, FATE (Fairness, Accountability, Transparency, and Ethics of AI) Group, Microsoft Research
“Human-Centered AI Transparency”
Presented by the Data Science Institute in partnership with the Departments of Statistics, Computer Science, and the Committee on Computational and Applied Mathematics
CAM Colloquium: Mirjeta Pasha
4:00–5:00 pm Jones 303
Mirjeta Pasha, Department of Mathematics, Tufts University
“Bayesian and Deterministic Methods with Edge-Preserving Priors for Spatio-Temporal Large-Scale Inverse Problems”
CAM and Stats Student Seminar: Yating Liu
12:30–1:30 pm Jones 303
Yating Liu, Department of Statistics, The University of Chicago
“Sparse topic modeling via spectral decomposition and thresholding”