Time and Date |
Speaker |
Title and Abstract |
Location and Host |
4pm Sept. 11 2023 |
Tiffany Vlaar (McGill) |
Constrained and Multirate Training of Neural Networks |
Hybrid S. Brugiapaglia |
4pm Sept. 18 2023 |
Mehdi Dagdoug (McGill) |
Statistical inference in surveys with random forest imputed estimators |
Hybrid T. Hoheisel |
4pm Sept. 25 2023 |
Elizabeth Collins-Woodfin (McGill) |
High dimensional limit of streaming SGD for generalized linear models |
Hybrid J. Bramburger |
4pm Oct. 2 2023 |
Murat A. Erdogdu (University of Toronto) |
Feature Learning in Two-layer Neural Networks: The Effect of Data Covariances |
Hybrid A. Oberman |
4pm Oct. 9 2023 |
Thanksgiving |
~ |
~ |
4pm Oct. 16 2023 |
Yves D'Angelo (Universite Cote d'Azur) |
Combustion Modeling : a Class of Evolution Equations for Propagating Flames Dynamics |
Hybrid J. Bramburger |
4pm Oct. 23 2023 |
Xin Yang Lu (LakeHead University) |
Geometry of minima in tri-block copolymer models |
Hybrid R. Choksi |
4pm Oct. 30 2023 |
Stephane Jaffard (Universite Paris Est Creteil) |
Stephane Jaffard Aisenstadt Chair Lecture Series |
CRM (UdeM, Pavillon Andre-Aisenstadt) |
4pm Nov. 6 2023 |
Giovanni Migliorati (Sorbonne Universite) |
Stable high-order cubature formulae for integration in arbitrary dimension |
Hybrid S. Brugiapaglia |
4pm Nov. 13 2023 |
James V. Burke (University of Washington) |
Feature Selection for Linear Fixed Effects Models |
Hybrid T. Hoheisel |
4pm Nov. 20 2023 |
Per Sebastian Skardal (Trinity College) |
Identifying and suppressing unknown disturbances to dynamical systems using machine learning |
Hybrid J. Bramburger |
4pm Nov. 27 2023 |
Martina Neumann (University of Vienna) |
Transferability of Graph Neural Networks using Graphon and Sampling Theories |
Hybrid J. Bramburger |
11am Tuesday, Dec. 5 2023 |
Ben Adcock (Simon Fraser University) |
A general framework for active learning with arbitrary data based on Christoffel functions |
Concordia, room LB 921-04 (9th floor of J.W. McConnell Building) S. Brugiapaglia |