A Lagrangian Duality Approach to Active Learning. - Juan Elenter; Navid Naderializadeh; Alejandro Ribeiro (NeurIPS, 2022)

Neural Networks with Quantization Constraints. - Ignacio Hounie; Juan Elenter; Alejandro Ribeiro (ICASSP, 2023)

Primal-Dual Continual Learning: Stability and Plasticity through Lagrange Multipliers. - Juan Elenter; Navid Naderializadeh; Tara Javidi; Alejandro Ribeiro (CoRR, 2023)

Near-Optimal Solutions of Constrained Learning Problems. - Juan Elenter; Luiz F. O. Chamon; Alejandro Ribeiro (ICLR, 2024)

ICL-TSVD: Bridging Theory and Practice in Continual Learning with Pre-trained Models. - Liangzu Peng; Juan Elenter; Joshua Agterberg; Alejandro Ribeiro; René Vidal (CoRR, 2024)

Feasible Learning. - Juan Ramirez; Ignacio Hounie; Juan Elenter; Jose Gallego-Posada; Meraj Hashemizadeh; Alejandro Ribeiro; Simon Lacoste-Julien (AISTATS, 2025)

LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning. - Liangzu Peng; Juan Elenter; Joshua Agterberg; Alejandro Ribeiro; René Vidal (ICLR, 2025)