Search Results for author: Verónica Álvarez

Found 4 papers, 4 papers with code

Minimax Forward and Backward Learning of Evolving Tasks with Performance Guarantees

1 code implementation NeurIPS 2023 Verónica Álvarez, Santiago Mazuelas, Jose A. Lozano

For a sequence of classification tasks that arrive over time, it is common that tasks are evolving in the sense that consecutive tasks often have a higher similarity.

Continual Learning Incremental Learning

Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees

1 code implementation31 May 2022 Verónica Álvarez, Santiago Mazuelas, Jose A. Lozano

The statistical characteristics of instance-label pairs often change with time in practical scenarios of supervised classification.

MRCpy: A Library for Minimax Risk Classifiers

1 code implementation4 Aug 2021 Kartheek Bondugula, Verónica Álvarez, José I. Segovia-Martín, Aritz Pérez, Santiago Mazuelas

MRCpy provides a unified interface for different variants of MRCs and follows the standards of popular Python libraries.

Probabilistic Load Forecasting Based on Adaptive Online Learning

1 code implementation30 Nov 2020 Verónica Álvarez, Santiago Mazuelas, José A. Lozano

Conventional load forecasting techniques obtain single-value load forecasts by exploiting consumption patterns of past load demand.

energy management Load Forecasting +2

Cannot find the paper you are looking for? You can Submit a new open access paper.