Jose Gallego-Posada

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 14

Top Topics

Penalty Function

Nash Equilibria

Constrained Optimization

Lagrange Multipliers

Top Venues

Publications

Motahareh Sohrabi, Juan Ramirez, Tianyue H. Zhang, Simon Lacoste-Julien, Jose Gallego-Posada
On PI Controllers for Updating Lagrange Multipliers in Constrained Optimization. CoRR (2024)
Meraj Hashemizadeh, Juan Ramirez, Rohan Sukumaran, Golnoosh Farnadi, Simon Lacoste-Julien, Jose Gallego-Posada
Balancing Act: Constraining Disparate Impact in Sparse Models. ICLR (2024)
Hao-Jun Michael Shi, Tsung-Hsien Lee, Shintaro Iwasaki, Jose Gallego-Posada, Zhijing Li, Kaushik Rangadurai, Dheevatsa Mudigere, Michael Rabbat
A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale. CoRR (2023)
Meraj Hashemizadeh, Juan Ramirez, Rohan Sukumaran, Golnoosh Farnadi, Simon Lacoste-Julien, Jose Gallego-Posada
Balancing Act: Constraining Disparate Impact in Sparse Models. CoRR (2023)
Jose Gallego-Posada, Juan Ramirez, Akram Erraqabi, Yoshua Bengio, Simon Lacoste-Julien
Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love Constraints. NeurIPS (2022)
Sourya Basu, Jose Gallego-Posada, Francesco Viganò, James Rowbottom, Taco Cohen
Equivariant Mesh Attention Networks. CoRR (2022)
Jose Gallego-Posada, Juan Ramirez, Akram Erraqabi, Yoshua Bengio, Simon Lacoste-Julien
Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love Constraints. CoRR (2022)
Juan Ramirez, Jose Gallego-Posada
-constraints. CoRR (2022)
Sourya Basu, Jose Gallego-Posada, Francesco Viganò, James Rowbottom, Taco Cohen
Equivariant Mesh Attention Networks. Trans. Mach. Learn. Res. 2022 (2022)
Jose Gallego-Posada, Ankit Vani, Max Schwarzer, Simon Lacoste-Julien
GAIT: A Geometric Approach to Information Theory. AISTATS (2020)
Jose Gallego-Posada, Ankit Vani, Max Schwarzer, Simon Lacoste-Julien
GEAR: Geometry-Aware Rényi Information. CoRR (2019)
Frans A. Oliehoek, Rahul Savani, Jose Gallego-Posada, Elise van der Pol, Roderich Groß
Beyond Local Nash Equilibria for Adversarial Networks. CoRR (2018)
Frans A. Oliehoek, Rahul Savani, Jose Gallego-Posada, Elise van der Pol, Roderich Groß
Beyond Local Nash Equilibria for Adversarial Networks. BNCAI (2018)
Frans A. Oliehoek, Rahul Savani, Jose Gallego-Posada, Elise van der Pol, Edwin D. de Jong, Roderich Gross
GANGs: Generative Adversarial Network Games. CoRR (2017)