3 papers
stat.ME2025
Post-clustering Inference under Dependence
Javier González-Delgado, Mathis Deronzier, Juan Cortés +1
Recent work by Gao et al. (JASA 2022) has laid the foundations for post-clustering inference, establishing a theoretical framework allowing to test for differences between means of…
stat.ML2025
On the Nonconvexity of Push-Forward Constraints and Its Consequences in Machine Learning
Lucas de Lara, Mathis Deronzier, Alberto González-Sanz +1
The push-forward operation enables one to redistribute a probability measure through a deterministic map. It plays a key role in statistics and optimization: many learning problems…
stat.ME2025
Block-Additive Gaussian Processes under Monotonicity Constraints
M. Deronzier, A. F. López-Lopera, F. Bachoc +2
We generalize the additive constrained Gaussian process framework to handle interactions between input variables while enforcing monotonicity constraints everywhere on the input sp…