Associate Professor, Universidad de La Sabana
2 papers at NeurIPS 2025
We introduce LCDB 1.1, a large database of learning curves, and show that learning curves are less well-behaved than previously thought, impacting downstream tasks, such as model selection.
This paper proposes a principled method to construct credal sets using relative likelihood and ensemble learning, achieving improved uncertainty representation without sacrificing predictive accuracy.
