Posts by Collection

SVRG meets AdaGrad: Painless Variance Reduction

Benjamin Dubois-Taine*, Sharan Vaswani*, Reza Babanezhad, Mark Schmidt, Simon Lacoste-Julien, ECML, 2022. [Paper][code]

Towards Noise-adaptive, Problem-adaptive Stochastic Gradient Descent

Sharan Vaswani, Benjamin Dubois-Taine, Reza Babanezhad, ICML (Long Presentation), 2022. [Paper]

Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization

Benjamin Dubois-Taine, Francis Bach, Quentin Berthet, Adrien Taylor, NeurIPS, 2022. [Paper][code]

Iteratively Reweighted Least Squares for Phase Unwrapping

Benjamin Dubois-Taine, Roland Akiki, Alexandre d'Aspremont, ArXiv, 2024. [Paper][code]

Frank-Wolfe meets Shapley-Folkman: a systematic approach for solving nonconvex separable problems with linear constraints

Benjamin Dubois-Taine, Alexandre d'Aspremont, ArXiv, 2024. [Paper][code]

Towards understanding the role of over-parametrization in generalization of neural networks.

Learning representations for counterfactual inference

Introduction to optimal control theory.

Undergraduate Teaching Assistant

TA, McGill University, 2018

For the classes:
COMP330: Theory of Computation
MATH 254: Honours Analysis 1

Graduate Teaching Assistant

TA, UBC, Department of Computer Science, 2019

For the classes:
CPSC532M: Machine Learning and Data Mining
CPSC221: Algorithms and Data Structures