Juan Ramirez

According to our database, Juan Ramirez authored at least 9 papers between 2012 and 2025.

Collaborative distances:

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

2025

Position: Adopt Constraints Over Penalties in Deep Learning.

Juan Ramirez, Meraj Hashemizadeh, Simon Lacoste-Julien

CoRR, May, 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

Omega: Optimistic EMA Gradients.

Juan Ramirez, Rohan Sukumaran, Quentin Bertrand, Gauthier Gidel

CoRR, 2023

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

2012

Spectral Clustering: An empirical study of Approximation Algorithms and its Application to the Attrition Problem

B. Cung, T. Jin, Juan Ramirez, A. Thompson, Christos Boutsidis, Deanna Needell

CoRR, 2012