Publications

Published

On the Convergence to Stationary Points of the Iterative Linear Exponential Quadratic Gaussian Algorithm.
Vincent Roulet, Maryam Fazel, Siddhartha Srinivasa, Zaid Harchaoui.
To appear in 2020 American Control Conference (ACC 2020).
paper code

Sharpness, Restart and Acceleration.
Vincent Roulet, Alexandre d’Aspremont.
(Journal version) SIAM Journal of Optimization (SIOPT) (2020)
paper

An Elementary Approach to Convergence Guarantees of Optimization Algorithms for Deep Networks.
Vincent Roulet, Zaid Harchaoui.
Proceedings of the 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton 2019).
paper

Iterative Linearized Control: Stable Algorithms and Complexity Guarantees.
Vincent Roulet, Siddharta Srinivasa, Dmitry Drusvyatskiy, Zaid Harchaoui.
Proceedings of the 36th International Conference on Machine Learning (ICML 2019).
paper code poster

Complexity versus Statistical Performance on Sparse Recovery Problems.
Vincent Roulet, Nicolas Boumal, Alexandre d’Aspremont.
Information and Inference: a Journal of the IMA, (2019).
paper

A Smoother Way to Train Structured Prediction Models.
Krishna Pillutla, Vincent Roulet, Sham Kakade, Zaid Harchaoui.
Advances in Neural Information Processing Systems 31 (NeurIPS 2018).
paper code poster blog post

Sharpness, Restart and Acceleration.
Vincent Roulet, Alexandre d’Aspremont.
(Conference version) Advances in Neural Information Processing Systems 30 (NIPS 2017).
paper

Integration Methods and Accelerated Optimization Algorithms.
Damien Scieur, Vincent Roulet, Francis Bach, Alexandre d’Aspremont.
Advances in Neural Information Processing Systems 30 (NIPS 2017).
paper

Working papers

Kernel-based Translations of Convolutional Networks.
Corinne Jones, Vincent Roulet, Zaid Harchaoui.
paper code

PhD Thesis

On the Geometry of Optimization Problems and their Structure.
Vincent Roulet.
PhD Thesis.
manuscript slides