Talks

Differentiable Programming à la Moreau.
International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.
Singapore (online), May 2022
slides

A Representation-Focused Training Algorithm for Deep Networks.
IEEE Data Science and Learning Workshop (IEEEDSLW), 2022.
Singapore (online), May 2022
slides

Complexity Bounds of Iterative Linear Quadratic Optimization Algorithms for Discrete Time Nonlinear Control.
7th International Conference on Continuous Optimization.
Bethlehem, PA, USA, Jul. 2022.
Best Poster Award
slides poster
3rd Biennial Meeting of the SIAM Pacific Northwest Section.
Vancouver, WA, USA, May 2022.
slides
INFORMS Optimization Society Conference (IOS).
Greenville, SC, USA, Mar. 2022.
slides
Machine Learning and Optimization Seminar at the University of Washington.
Seattle, WA, USA, Mar. 2022.
slides

On the Smoothing of Deep Networks.
55th Annual Conference on Information Sciences and Systems (CISS).
Baltimore, PA, USA, Mar. 2021. (Online)
slides

From Statistical Bounds to Optimization Complexity in Sparse Recovery Problems.
Non-Linear Dynamical Problems from a Optimization Viewpoint.
Seminar of the Department of Statistics.
Seattle, WA, USA, Feb. 2021. (Online)
slides

Automatic Differentiation Friendly Complexity Guarantees.
Workshop Beyond First Order Methods in Machine Learning Systems at ICML.
Vienna, Austria, Jul. 2020. (Online)
slides

On the Convergence to Stationary Points of the Iterative Linear Exponential Quadratic Gaussian Algorithm.
2020 American Control Conference.
Denver, CO, USA, Jul. 2020. (Online)
slides

Computational Complexity versus Statistical Performance on Sparse Recovery Problems.
Seminar of the Department of Statistics.
Seattle, WA, USA, Jun. 2020.
slides

Optimization Oracles for Chains of Computations.
Optimization for Machine Learning Workshop.
Luminy, France, Mar. 2020.
slides

Iterative Linearized Control from an Optimization Viewpoint.
Annual meeting of the Institute for Operations Research and the Management Sciences (INFORMS).
Seattle, WA, USA, Oct. 2019.
slides

Risk-Sensitive Control via Iterative Linearizations.
2nd Biennial Meeting of the SIAM Pacific Northwest Section.
Seattle, WA, USA, Oct. 2019.
slides

Restarts of Accelerated Gradient Methods: Generic Theoretical Speed-up.
West Coast Optimization Meeting.
Vancouver, Canada, Sep. 2019.
slides

An Elementary Approach to Convergence Guarantees of Optimization Algorithms for Deep Networks.
57th Annual Allerton Conference on Communication, Control, and Computing (Allerton).
Urbana-Champaign, IL, USA, Sep. 2019.
slides

Iterative Linearized Control: Stable Algorithms and Complexity Guarantees.
36th International Conference on Machine Learning (ICML).
Long Beach, CA, USA, Jun. 2019.
slides

A Smoother Way to Train Structured Prediction Models.
*Conference on Neural Information Processing Systems (NeurIPS).**
Montreal, Canada, Dec. 2018.
slides

On the Geometry of Optimization Problems and their Structure.
PhD presentation at the Institut National de Recherche en Informatique et en Automatique (INRIA) Paris.
Paris, France, Dec. 2017.
slides

Integration Methods and Accelerated Optimization Algorithms. Conference on Neural Information Processing Systems (NeurIPS).
Montreal, Canada, Dec. 2017.
poster

Sharpness, Restart and Acceleration.
Conference on Neural Information Processing Systems (NeurIPS).
Montreal, Canada, Dec. 2017.
poster

Integration Methods and Accelerated Optimization Algorithms.
Institut de Recherche en Informatique de Toulouse (IRIT).
Toulouse, France, Jun. 2017.
slides

Learning with Clustered Penalties.
Institut de Recherche en Informatique de Toulouse (IRIT).
Toulouse, France, Jun. 2017.
slides

Sharpness, Restart, Acceleration.
Optimization and Statistical Learning Workshop.
Les Houches, France, Feb. 2017.
slides

Supervised Clustering in the Data Cube.
Transfer and Multi-Task Learning Workshop, NIPS 2015.
Montreal, Canada, Dec. 2015.
slides