Nov 20, 13:00 |
Mohammad Pedramfar |
From Linear to Linearizable Optimization |
Mila Auditorium 2 |
Nov 13, 12:30 |
Alireza Mousavi-Hosseini |
Learning and Optimization with the Mean-Field Langevin Dynamics |
Mila Auditorium 1 |
Oct 30, 13:00 |
Lucas Maes and Helen (Tianyue) Zhang |
Understanding Adam Requires Better Rotation Dependent Assumptions |
Mila Auditorium 2 |
Jul 17, 13:30 |
Cristóbal Guzmán |
The Role of Sparsity on Differentially Private Learning |
Mila Auditorium 2 |
Jun 26, 13:00 |
Samuel Vaiter |
(Automatic) Iterative Differentiation: some old (& new) results |
Mila Auditorium 2 |
Jun 19, 13:00 |
El Mahdi El Mhamdi |
On the security of large AI models |
Mila Auditorium 1 (online speaker) |
Jun 11, 13:00 |
Tristan Deleu |
Discrete Probabilistic Inference as Control in Multi-path Environments |
Mila Auditorium 1 |
May 31, 13:00 |
Tara Akhound-Sadegh and Jarrid Rector-Brooks |
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities |
Mila Auditorium 2 |
Apr 26, 13:00 |
Eliott Paquette |
Random matrix theory for high dimensional optimization, and an application to scaling laws |
Microsoft Research Labs |
Apr 17, 13:00 |
Gauthier Gidel |
On the stability of iterative retraining of generative models on their own data |
Microsoft Research Labs |
Apr 03, 13:00 |
Adam Oberman |
Theoretical insights into self-supervised feature representation learning. |
Microsoft Research Labs |
Mar 20, 13:00 |
Jose Gallego-Posada |
On PI controllers for updating Lagrange multipliers in constrained optimization |
Microsoft Research Labs |
Mar 06, 13:00 |
Motahareh Sohrabi |
Weight-Sharing Regularization |
Mila, Auditorium 2 |
Feb 21, 13:00 |
Louis Fournier |
Can Forward Gradient Match Backpropagation? |
Mila, Auditorium 2 |
Feb 09, 13:00 |
Michael Rabbat |
Benchmarking Neural Network Training Algorithms |
Microsoft Research Labs |