( en | de | ru )

 

Disambiguation of "Srebro, Nathan"

Author of the publication

copydeleteadd this publication to your clipboard
When is Agnostic Reinforcement Learning Statistically Tractable?

, , , , and . CoRR, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Nathan Srebro

Nathan ben-Nathan

Hans Nathan

Siegfried Nathan

Nathan Rosenbaum

 

Other publications of authors with the same name

Most Neural Networks Are Almost Learnable., , and . CoRR, (2023)Lower Bounds for Non-Convex Stochastic Optimization., , , , , and . CoRR, (2019)Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds and Benign Overfitting., , , and . NeurIPS, page 20657-20668. (2021)A Stochastic Newton Algorithm for Distributed Convex Optimization., , , , and . NeurIPS, page 26818-26830. (2021)A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks., , and . ICLR (Poster), OpenReview.net, (2018)Stochastic Nonconvex Optimization with Large Minibatches., and . ALT, volume 98 of Proceedings of Machine Learning Research, page 856-881. PMLR, (2019)Learnability, Stability and Uniform Convergence, , , and . Journal of Machine Learning Research, (2010)Does Invariant Risk Minimization Capture Invariance?, , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 4069-4077. PMLR, (2021)The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication., , , , , , , and . CoRR, (2024)Noisy Interpolation Learning with Shallow Univariate ReLU Networks., , and . ICLR, OpenReview.net, (2024)