Search Results - "Srebro, Nathan" :: K.UTB vyhledávací portál

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Interpolation Learning With Minimum Description Length

by Manoj, Naren Sarayu, Srebro, Nathan
Year of Publication 14.02.2023

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Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality

by Medvedev, Marko, Vardi, Gal, Srebro, Nathan
Year of Publication 05.09.2024

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An Even More Optimal Stochastic Optimization Algorithm: Minibatching and Interpolation Learning

by Woodworth, Blake, Srebro, Nathan
Year of Publication 04.06.2021

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On the Complexity of Learning Sparse Functions with Statistical and Gradient Queries

by Joshi, Nirmit, Misiakiewicz, Theodor, Srebro, Nathan
Year of Publication 08.07.2024

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Predictive Value Generalization Bounds

by Vemuri, Keshav, Srebro, Nathan
Year of Publication 09.07.2020

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Noisy Interpolation Learning with Shallow Univariate ReLU Networks

by Joshi, Nirmit, Vardi, Gal, Srebro, Nathan
Year of Publication 28.07.2023

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Most Neural Networks Are Almost Learnable

by Daniely, Amit, Srebro, Nathan, Vardi, Gal
Year of Publication 25.05.2023

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Computational Complexity of Learning Neural Networks: Smoothness and Degeneracy

by Daniely, Amit, Srebro, Nathan, Vardi, Gal
Year of Publication 14.02.2023

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Score Design for Multi-Criteria Incentivization

by Kabra, Anmol, Karzand, Mina, Lechner, Tosca, Srebro, Nathan, Wang, Serena
Published in arXiv.org (08.10.2024)

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The Price of Implicit Bias in Adversarially Robust Generalization

by Tsilivis, Nikolaos, Frank, Natalie, Srebro, Nathan, Kempe, Julia
Year of Publication 07.06.2024

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Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization

by Montasser, Omar, Hanneke, Steve, Srebro, Nathan
Year of Publication 15.09.2022

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Open Problem: The Oracle Complexity of Convex Optimization with Limited Memory

by Woodworth, Blake, Srebro, Nathan
Year of Publication 01.07.2019

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Depth Separation in Norm-Bounded Infinite-Width Neural Networks

by Parkinson, Suzanna, Ongie, Greg, Willett, Rebecca, Shamir, Ohad, Srebro, Nathan
Year of Publication 13.02.2024

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$Pessimism for Offline Linear Contextual Bandits using $\ell_p$ Confidence Sets$

Pessimism for Offline Linear Contextual Bandits using $\ell_p$ Confidence Sets

by Li, Gene, Ma, Cong, Srebro, Nathan
Year of Publication 21.05.2022

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Thinking Outside the Ball: Optimal Learning with Gradient Descent for Generalized Linear Stochastic Convex Optimization

by Amir, Idan, Livni, Roi, Srebro, Nathan
Year of Publication 27.02.2022

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When is Agnostic Reinforcement Learning Statistically Tractable?

by Jia, Zeyu, Li, Gene, Rakhlin, Alexander, Sekhari, Ayush, Srebro, Nathan
Year of Publication 09.10.2023

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The Sample Complexity of One-Hidden-Layer Neural Networks

by Vardi, Gal, Shamir, Ohad, Srebro, Nathan
Year of Publication 13.02.2022

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Uniform Convergence with Square-Root Lipschitz Loss

by Zhou, Lijia, Dai, Zhen, Koehler, Frederic, Srebro, Nathan
Year of Publication 22.06.2023

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An Agnostic View on the Cost of Overfitting in (Kernel) Ridge Regression

by Zhou, Lijia, Simon, James B, Vardi, Gal, Srebro, Nathan
Year of Publication 22.06.2023

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Transductive Robust Learning Guarantees

by Montasser, Omar, Hanneke, Steve, Srebro, Nathan
Year of Publication 20.10.2021

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