Events

01/22/
2024
Monday
4:00pm
University of California San Diego
Toward a practical theory of deep learning
01/29/
2024
Monday
4:00pm
Massachusetts Institute of Technology
Mathematical Foundations for Physical Agents
02/05/
2024
Monday
4:00pm
Yale University
Analyzing Data with Systematic Bias: Truncation and Self-Selection
02/12/
2024
Monday
4:00pm
University of California, Davis
Fine-Grained Extensions of the Low-Degree Testing Framework
03/04/
2024
Monday
4:00pm
University of Oxford
Inferential Machine Learning: Statistics, Data Science, and Public Policy
03/06/
2024
Wednesday
12:00pm
Massachusetts Institute of Technology
Learning from Dynamics
03/25/
2024
Monday
4:00pm
Associate Professor, Management Science & Engineering (MS&E) Institute for Computational & Mathematical Engineering (ICME) Cisco Systems Faculty Scholar, School of Engineering Stanford University
Harvesting randomness to understand computational social systems
04/01/
2024
Monday
4:00pm
University of Texas at Austin
Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation
04/08/
2024
Monday
2:30pm
Professor with the Gatsby Computational Neuroscience Unit; director of the Centre for Computational Statistics and Machine Learning (CSML) at UCL; and Research Scientist at Google Deepmind.
Causal Effect Estimation with Context and Confounders
04/08/
2024
Monday
4:00pm
Georgia Institute of Technology
Robust Statistics in High Dimension
04/15/
2024
Monday
4:00pm
Harvard John A. Paulson School of Engineering and Applied Sciences
Strategic Design to Improve Information Integrity
04/22/
2024
Monday
4:00pm
University of Pennsylvania, Wharton School
Analyzing genetic summary data: statistical models and platforms
04/24/
2024
Wednesday
11:30am
04/29/
2024
Monday
4:00pm
Northwestern University
Emergent outlier subspaces in high-dimensional stochastic gradient descent