no code implementations • 14 Feb 2024 • Ignacio Hounie, Javier Porras-Valenzuela, Alejandro Ribeiro
We propose a practical Primal-Dual algorithm to tackle it, and demonstrate that the proposed approach exhibits competitive average performance in time series forecasting benchmarks, while shaping the distribution of errors across the predicted window.
no code implementations • NeurIPS 2023 • Ignacio Hounie, Alejandro Ribeiro, Luiz F. O. Chamon
This paper presents a constrained learning approach that adapts the requirements while simultaneously solving the learning task.
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.
1 code implementation • 29 Sep 2022 • Ignacio Hounie, Luiz F. O. Chamon, Alejandro Ribeiro
Despite its ubiquity, its effectiveness depends on the choices of which transformations to apply, when to do so, and how often.
Ranked #1 on Image Classification on SVHN (Percentage correct metric)