Poster "statistical learning theory" Papers
9 papers found
Bridging the Gap Between f-divergences and Bayes Hilbert Spaces
Linus Lach, Alexander Fottner, Yarema Okhrin
ICLR 2025poster
Data-Driven Performance Guarantees for Classical and Learned Optimizers
Rajiv Sambharya, Bartolomeo Stellato
NeurIPS 2025posterarXiv:2404.13831
10
citations
Learning with Statistical Equality Constraints
Aneesh Barthakur, Luiz Chamon
NeurIPS 2025posterarXiv:2511.14320
Algorithmic Stability Unleashed: Generalization Bounds with Unbounded Losses
Shaojie Li, Bowei Zhu, Yong Liu
ICML 2024poster
A Statistical Theory of Regularization-Based Continual Learning
Xuyang Zhao, Huiyuan Wang, Weiran Huang et al.
ICML 2024poster
On Statistical Learning Theory for Distributional Inputs
Christian Fiedler, Pierre-François Massiani, Friedrich Solowjow et al.
ICML 2024poster
On the Consistency of Kernel Methods with Dependent Observations
Pierre-François Massiani, Sebastian Trimpe, Friedrich Solowjow
ICML 2024posterarXiv:2406.06101
Smoothness Adaptive Hypothesis Transfer Learning
Haotian Lin, Matthew Reimherr
ICML 2024poster
Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms
Ming Yang, Xiyuan Wei, Tianbao Yang et al.
ICML 2024posterarXiv:2307.03357