"finite-sample guarantees" Papers
6 papers found
Conference
Assessing the quality of denoising diffusion models in Wasserstein distance: noisy score and optimal bounds
Vahan Arsenyan, Elen Vardanyan, Arnak Dalalyan
NEURIPS 2025arXiv:2506.09681
Conformal Prediction under Lévy-Prokhorov Distribution Shifts: Robustness to Local and Global Perturbations
Liviu Aolaritei, Julie Zhu, Oliver Wang et al.
NEURIPS 2025
Robust Minimax Boosting with Performance Guarantees
Santiago Mazuelas, Veronica Alvarez
NEURIPS 2025arXiv:2510.13445
Sample-efficient Learning of Concepts with Theoretical Guarantees: from Data to Concepts without Interventions
Hidde Fokkema, Tim van Erven, Sara Magliacane
NEURIPS 2025arXiv:2502.06536
3
citations
Spectral Learning for Infinite-Horizon Average-Reward POMDPs
Alessio Russo, Alberto Maria Metelli, Marcello Restelli
NEURIPS 2025
Agnostic Interactive Imitation Learning: New Theory and Practical Algorithms
Yichen Li, Chicheng Zhang
ICML 2024arXiv:2312.16860