Jose Gallego-Posada

18 papers A* 3A 2Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Cooper: A Library for Constrained Optimization in Deep Learning.
CoRR
Jose Gallego-Posada, Juan Ramirez, Meraj Hashemizadeh, Simon Lacoste-Julien
2025 A conf
Feasible Learning.
AISTATS
Juan Ramirez, Ignacio Hounie, Juan Elenter, Jose Gallego-Posada, Meraj Hashemizadeh, Alejandro Ribeiro, Simon Lacoste-Julien
2025 J jnl
Feasible Learning.
CoRR
Juan Ramirez, Ignacio Hounie, Juan Elenter, Jose Gallego-Posada, Meraj Hashemizadeh, Alejandro Ribeiro, Simon Lacoste-Julien
2024 A* conf
Balancing Act: Constraining Disparate Impact in Sparse Models.
ICLR
Meraj Hashemizadeh, Juan Ramirez, Rohan Sukumaran, Golnoosh Farnadi, Simon Lacoste-Julien, Jose Gallego-Posada
2024 A* conf
On PI Controllers for Updating Lagrange Multipliers in Constrained Optimization.
ICML
Motahareh Sohrabi, Juan Ramirez, Tianyue H. Zhang, Simon Lacoste-Julien, Jose Gallego-Posada
2024 J jnl
On PI Controllers for Updating Lagrange Multipliers in Constrained Optimization.
CoRR
Motahareh Sohrabi, Juan Ramirez, Tianyue H. Zhang, Simon Lacoste-Julien, Jose Gallego-Posada
2023 J jnl
A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale.
CoRR
Hao-Jun Michael Shi, Tsung-Hsien Lee, Shintaro Iwasaki, Jose Gallego-Posada, Zhijing Li, Kaushik Rangadurai, Dheevatsa Mudigere, Michael Rabbat
2023 J jnl
Balancing Act: Constraining Disparate Impact in Sparse Models.
CoRR
Meraj Hashemizadeh, Juan Ramirez, Rohan Sukumaran, Golnoosh Farnadi, Simon Lacoste-Julien, Jose Gallego-Posada
2022 A* conf
Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love Constraints.
NeurIPS
Jose Gallego-Posada, Juan Ramirez, Akram Erraqabi, Yoshua Bengio, Simon Lacoste-Julien
2022 J jnl
Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love Constraints.
CoRR
Jose Gallego-Posada, Juan Ramirez, Akram Erraqabi, Yoshua Bengio, Simon Lacoste-Julien
2022 J jnl
Equivariant Mesh Attention Networks.
CoRR
Sourya Basu, Jose Gallego-Posada, Francesco Viganò, James Rowbottom, Taco Cohen
2022 J jnl
Equivariant Mesh Attention Networks.
Trans. Mach. Learn. Res.
Sourya Basu, Jose Gallego-Posada, Francesco Viganò, James Rowbottom, Taco Cohen
2022 J jnl
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CoRR
Juan Ramirez, Jose Gallego-Posada
2020 A conf
GAIT: A Geometric Approach to Information Theory.
AISTATS
Jose Gallego-Posada, Ankit Vani, Max Schwarzer, Simon Lacoste-Julien
2019 J jnl
GEAR: Geometry-Aware Rényi Information.
CoRR
Jose Gallego-Posada, Ankit Vani, Max Schwarzer, Simon Lacoste-Julien
2018 — conf
Beyond Local Nash Equilibria for Adversarial Networks.
BNCAI
Frans A. Oliehoek, Rahul Savani, Jose Gallego-Posada, Elise van der Pol, Roderich Groß
2018 J jnl
Beyond Local Nash Equilibria for Adversarial Networks.
CoRR
Frans A. Oliehoek, Rahul Savani, Jose Gallego-Posada, Elise van der Pol, Roderich Groß
2017 J jnl
GANGs: Generative Adversarial Network Games.
CoRR
Frans A. Oliehoek, Rahul Savani, Jose Gallego-Posada, Elise van der Pol, Edwin D. de Jong, Roderich Gross