no code implementations • 18 Mar 2024 • Juan Elenter, Luiz F. O. Chamon, Alejandro Ribeiro
These requirements can be imposed (with generalization guarantees) by formulating constrained learning problems that can then be tackled by dual ascent algorithms.
no code implementations • 29 Sep 2023 • Juan Elenter, Navid Naderializadeh, Tara Javidi, Alejandro Ribeiro
Continual learning is inherently a constrained learning problem.
1 code implementation • 27 Oct 2022 • Ignacio Hounie, Juan Elenter, Alejandro Ribeiro
Furthermore, we show that dual variables indicate the sensitivity of the objective with respect to constraint perturbations.
no code implementations • 8 Feb 2022 • Juan Elenter, Navid Naderializadeh, Alejandro Ribeiro
We consider the pool-based active learning problem, where only a subset of the training data is labeled, and the goal is to query a batch of unlabeled samples to be labeled so as to maximally improve model performance.