NEURIPS "finite-sample guarantees" Papers

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Assessing the quality of denoising diffusion models in Wasserstein distance: noisy score and optimal bounds

Vahan Arsenyan, Elen Vardanyan, Arnak Dalalyan

NEURIPS 2025posterarXiv:2506.09681

Conformal Prediction under Lévy-Prokhorov Distribution Shifts: Robustness to Local and Global Perturbations

Liviu Aolaritei, Julie Zhu, Oliver Wang et al.

NEURIPS 2025poster

Robust Minimax Boosting with Performance Guarantees

Santiago Mazuelas, Veronica Alvarez

NEURIPS 2025posterarXiv:2510.13445

Sample-efficient Learning of Concepts with Theoretical Guarantees: from Data to Concepts without Interventions

Hidde Fokkema, Tim van Erven, Sara Magliacane

NEURIPS 2025posterarXiv:2502.06536
3
citations

Spectral Learning for Infinite-Horizon Average-Reward POMDPs

Alessio Russo, Alberto Maria Metelli, Marcello Restelli

NEURIPS 2025poster