Jose Gallego-Posada

According to our database, Jose Gallego-Posada authored at least 12 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Cooper: A Library for Constrained Optimization in Deep Learning.

Jose Gallego-Posada, Juan Ramirez, Meraj Hashemizadeh, Simon Lacoste-Julien

CoRR, April, 2025

Feasible Learning.

Juan Ramirez, Ignacio Hounie, Juan Elenter, Jose Gallego-Posada, Meraj Hashemizadeh, Alejandro Ribeiro, Simon Lacoste-Julien

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

On PI Controllers for Updating Lagrange Multipliers in Constrained Optimization.

Motahareh Sohrabi, Juan Ramirez, Tianyue H. Zhang, Simon Lacoste-Julien, Jose Gallego-Posada

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Balancing Act: Constraining Disparate Impact in Sparse Models.

Meraj Hashemizadeh, Juan Ramirez, Rohan Sukumaran, Golnoosh Farnadi, Simon Lacoste-Julien, Jose Gallego-Posada

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale.

Hao-Jun Michael Shi, Tsung-Hsien Lee, Shintaro Iwasaki, Jose Gallego-Posada, Zhijing Li, Kaushik Rangadurai, Dheevatsa Mudigere, Michael Rabbat

CoRR, 2023

2022

Equivariant Mesh Attention Networks.

Sourya Basu, Jose Gallego-Posada, Francesco Viganò, James Rowbottom, Taco Cohen

Trans. Mach. Learn. Res., 2022

L₀onie: Compressing COINs with L₀-constraints.

Juan Ramirez, Jose Gallego-Posada

CoRR, 2022

Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love Constraints.

Jose Gallego-Posada, Juan Ramirez, Akram Erraqabi, Yoshua Bengio, Simon Lacoste-Julien

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

GAIT: A Geometric Approach to Information Theory.

Jose Gallego-Posada, Ankit Vani, Max Schwarzer, Simon Lacoste-Julien

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

GEAR: Geometry-Aware Rényi Information.

Jose Gallego-Posada, Ankit Vani, Max Schwarzer, Simon Lacoste-Julien

CoRR, 2019

2018

Beyond Local Nash Equilibria for Adversarial Networks.

Frans A. Oliehoek, Rahul Savani, Jose Gallego-Posada, Elise van der Pol, Roderich Groß

Proceedings of the Artificial Intelligence - 30th Benelux Conference, 2018

2017

GANGs: Generative Adversarial Network Games.

Frans A. Oliehoek, Rahul Savani, Jose Gallego-Posada, Elise van der Pol, Edwin D. de Jong, Roderich Gross

CoRR, 2017