2023
Data Science Institute, AI+Science Schmidt Fellows Speaker Series: Moritz Münchmeyer
4:30–5:30 pm William Eckhardt Research Center, Room 401
Moritz Münchmeyer, UW Madison
“Probing the Universe with AI - Probabilistic Machine Learning in Cosmology”
Student Seminar: Aaron Groff
3:00–3:30 pm Jones 111
Master’s Thesis Presentation
Aaron Groff, Department of Statistics, The University of Chicago
“Estimating the Cost of Providing Liquidity for an Options Automated Market Maker”
CAM and Stats Student Seminar: Abigail Poteshman
1:30–2:30 pm Jones 303
Abigail Poteshman, Committee on Computational and Applied Mathematics
“Implementing and leveraging fast algorithms for high-throughput materials characterizations”
Ecology and Evolution Seminars: Aaron Ragsdale
3:30–4:30 pm KCBD 1103
Aaron Ragsdale, University of Wisconsin-Madison
“Archaic introgression and the shared distribution of functional variation.”
Probability and Statistical Physics Seminar: Dmtry Krachun
1:30–2:30 pm Eckhart 202
Dmitry Krachun, University of Geneva
“TBA”
TTIC at Chicago, Distinguished Lecture Series: Yejin Choi
11:30 am–12:30 pm TTIC 5-530
Yejin Choi, University of Washington
“Possible Impossibilities and Impossible Possibilities”
Computer Science Seminar: Amy Greenwald
11:00 am–12:00 pm Location TBA
Amy Greenwald, Brown University
“From Min-max Optimization to Stackelberg Games: Solutions and Applications”
Autumn 2023 Distinguished Speaker Series: Adam Klivans
12:00–1:30 pm John Crerar Library, Room 390
Presented by the Data Science Institute in partnership with the Departments of Statistics, Computer Science, and the Committee on Computational and Applied Mathematics
Adam Klivans, Department of Computer Science, University of Texas at Austin
“Testable Learning”
CAM Colloquium: Mathias Oster
4:00–5:00 pm Jones 303
Mathias Oster, Institute für Geometrie und Praktische Mathematik at the RWTH Aachen
“On Semi-global Optimal Control and its Application to Machine Learning”
Student Seminar: Yu-Wei Chen
10:30–11:00 am Jones 304
Wednesday, October 11, 2023, at 10:30 AM, in Jones 304, 5747 S. Ellis Avenue
Master’s Thesis Presentation
Yu-Wei Chen, Department of Statistics, The University of Chicago
“User-Based Batch Sampling for Bayesian Personalized Ranking with Matrix Factorization (BPR-MF)”