High-dimensional statistics : a non-asymptotic viewpoint

von Wainwright, Martin J.
Veröffentlicht 2019

Bellman Residual Orthogonalization for Offline Reinforcement Learning

von Zanette, Andrea
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 5 of 50 (2023)

FedSplit: an algorithmic framework for fast federated optimization

von Pathak, Reese
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 9 of 27 (2021)

Graphical models, exponential families and variational inference / Martin J. Wainwright; Michael I. Jordan

von Wainwright, Martin J.
Veröffentlicht 2008

Statistical learning with sparsity : the lasso and generalizations

von Hastie, Trevor
Veröffentlicht 2020

Statistical learning with sparsity : the lasso and generalizations

von Hastie, Trevor
Veröffentlicht 2015

Statistical learning with sparsity : the lasso and generalizations

von Hastie, Trevor
Veröffentlicht 2015

Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning

von Zanette, Andrea
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 17 of 36 (2022)

Handbook of graphical models

Veröffentlicht 2019

Preference learning along multiple criteria: A game-theoretic perspective

von Bhatia, Kush
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 9 of 27 (2021)

Mathematical foundations of complex networked information systems : Politecnico di Torino, Verrès, Italy 2009 ; [Summer School Mathematical Foundations of Complex Networked Infor...

Veröffentlicht 2015