Verónica Álvarez

According to our database, Verónica Álvarez authored at least 9 papers between 2020 and 2025.

Collaborative distances:

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

2025

Reliable Programmatic Weak Supervision With Confidence Intervals for Label Probabilities.

Verónica Álvarez, Santiago Mazuelas, Steven An, Sanjoy Dasgupta

IEEE Trans. Pattern Anal. Mach. Intell., December, 2025

Adaptive Multi-task Learning for Probabilistic Load Forecasting.

Onintze Zaballa, Verónica Álvarez, Santiago Mazuelas

CoRR, December, 2025

Robust Minimax Boosting with Performance Guarantees.

Santiago Mazuelas, Verónica Álvarez

CoRR, October, 2025

Supervised Learning with Evolving Tasks and Performance Guarantees.

Verónica Álvarez, Santiago Mazuelas, José Antonio Lozano

J. Mach. Learn. Res., 2025

Adaptive Learning for Wireless Localization in Multiple Environments.

Verónica Álvarez, Santiago Mazuelas, Moe Z. Win

Proceedings of the 36th IEEE International Symposium on Personal, 2025

2024

Multi-Task Online Learning for Probabilistic Load Forecasting.

Onintze Zaballa, Verónica Álvarez, Santiago Mazuelas

Proceedings of the IEEE Sustainable Power and Energy Conference, 2024

2023

Minimax Forward and Backward Learning of Evolving Tasks with Performance Guarantees.

Verónica Álvarez, Santiago Mazuelas, José Antonio Lozano

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees.

Verónica Álvarez, Santiago Mazuelas, José Antonio Lozano

Proceedings of the International Conference on Machine Learning, 2022

2020

Probabilistic Load Forecasting Based on Adaptive Online Learning.

Verónica Álvarez, Santiago Mazuelas, José Antonio Lozano

CoRR, 2020