1. V. Álvarez, S. Mazuelas, and J.A. Lozano, “Probabilistic load forecasting based on adaptive online learning,” IEEE Transactions on Power Systems, 36(4), 3668-3680, 2021. Best Applied Contribution in the Statistics Field awarded by the Spanish Society of Statistics and Operations Research-BBVA
Foundation.
2. V. Álvarez, S.Mazuelas, and J.A. Lozano, “Supervised learning with evolving tasks and performance guarantees,” Journal of Machine Learning Research.
1. V. Álvarez, S. Mazuelas, and J.A. Lozano, “Minimax classification under concept drift with multidimensional adaptation and performance guarantees,” in the 39th International Conference on Machine Learning (ICML), 486-499, 2022.
2. V. Álvarez, S. Mazuelas, and J.A. Lozano, “Minimax forward and backward learning of evolving tasks with performance guarantees,” in Advances in Neural Information Processing Systems (NeurIPS), 65678-65702, 2023.
3. O. Zaballa, V. Álvarez, and S. Mazuelas, “Multi-task Online Learning for Probabilistic Load Forecasting,” in IEEE Sustainable Power and Energy Conference (iSPEC), 2024. Best Paper Award.
1. “Supervised Learning in Time-dependent Environments with Multidimensional adaptation,” Joint International Scientific Conferences on AI and Machine Learning (BNAIC/BeNeLearn), Utrecht, The Nederlands, 2024. Invited speaker.
2. “Programmatic weak supervision with confidence intervals for probabilities,” The Mathematics of Machine Learning Workshop, ETH Zurich, Switzerland, 2024. Poster presentation.
3. “¿Pueden las máquinas cambiar de opini ´on a lo largo del tiempo?,” Biblioteca Bidebarrieta, Bilbao, Spain, 2024. Oral presentation.
4. “Minimax classification under concept driftwithmultidimensional adaptation and performance guarantees,” University of California, San Diego, California, USA, 2023. Oral presentation.
5. “Multidimensional Adaptation to Time Changes Based on Minimax Classification,” Conference for Young Applied Mathematicians, Siena, Italy, 2023. Oral presentation.
6. “¿Pueden las máquinas cambiar de opini ´on a lo largo del tiempo?,” Naukas Pi Day, Bilbao, Spain, 2023. Oral presentation.
7. “Adaptive Minimax Classification by Tightly Tracking Underlying Distributions,” Spanish Conference on Statistics and Operational Research (SEIO), Elche, Spain, 2023. Oral presentation.
8. “Predicciones probabil´ısticas del consumo de energ´ıa basadas en el aprendizaje continuado,” Leaders in tech think tanks, Bilbao, Spain, 2022. Oral presentation.
9. “Minimax classification with multidimensional adaptation to time changes,” IEEE North American School of Information Theory, California, USA, 2022. Poster presentation.
10. “Probabilistic load forecasting based on adaptive online learning,” Intelligent Systems Group, San Sebastian, Spain, 2022. Oral presentation.
11. “APLF: adaptive and probabilistic algorithms for load forecasting,” Spanish Conference on Statistics and Operational Research (SEIO), Granada, Spain, 2022. Special session presentation.
12. “Online learning for probabilistic load forecasting,” Conference of the Spanish Association for Artificial Intelligence (CAEPIA), M´alaga, Spain, 2021. Oral presentation.
13. “Online learning for energy forecasting,” 4th Bilbao Data Science Workshop (BIDAS 4), Bilbao, Spain, 2019. Poster presentation.