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Black-Box Generalization: Stability of Zeroth-Order Learning

Black-Box Generalization: Stability of Zeroth-Order Learning

14 February 2022
Konstantinos E. Nikolakakis
Farzin Haddadpour
Dionysios S. Kalogerias
Amin Karbasi
    MLT
ArXivPDFHTML

Papers citing "Black-Box Generalization: Stability of Zeroth-Order Learning"

13 / 13 papers shown
Title
Towards a Unified Information-Theoretic Framework for Generalization
Towards a Unified Information-Theoretic Framework for Generalization
Mahdi Haghifam
Gintare Karolina Dziugaite
Shay Moran
Daniel M. Roy
84
34
0
09 Nov 2021
Information-theoretic generalization bounds for black-box learning
  algorithms
Information-theoretic generalization bounds for black-box learning algorithms
Hrayr Harutyunyan
Maxim Raginsky
Greg Ver Steeg
Aram Galstyan
68
42
0
04 Oct 2021
Stability and Generalization for Randomized Coordinate Descent
Stability and Generalization for Randomized Coordinate Descent
Puyu Wang
Liang Wu
Yunwen Lei
35
7
0
17 Aug 2021
Stability & Generalisation of Gradient Descent for Shallow Neural
  Networks without the Neural Tangent Kernel
Stability & Generalisation of Gradient Descent for Shallow Neural Networks without the Neural Tangent Kernel
Dominic Richards
Ilja Kuzborskij
24
28
0
27 Jul 2021
Stability and Deviation Optimal Risk Bounds with Convergence Rate
  $O(1/n)$
Stability and Deviation Optimal Risk Bounds with Convergence Rate O(1/n)O(1/n)O(1/n)
Yegor Klochkov
Nikita Zhivotovskiy
45
61
0
22 Mar 2021
Robustness, Privacy, and Generalization of Adversarial Training
Robustness, Privacy, and Generalization of Adversarial Training
Fengxiang He
Shaopeng Fu
Bohan Wang
Dacheng Tao
75
10
0
25 Dec 2020
Toward Better Generalization Bounds with Locally Elastic Stability
Toward Better Generalization Bounds with Locally Elastic Stability
Zhun Deng
Hangfeng He
Weijie J. Su
26
44
0
27 Oct 2020
Tighter Generalization Bounds for Iterative Differentially Private
  Learning Algorithms
Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms
Fengxiang He
Bohan Wang
Dacheng Tao
FedML
32
17
0
18 Jul 2020
Fantastic Generalization Measures and Where to Find Them
Fantastic Generalization Measures and Where to Find Them
Yiding Jiang
Behnam Neyshabur
H. Mobahi
Dilip Krishnan
Samy Bengio
AI4CE
56
599
0
04 Dec 2019
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent
  Estimates
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates
Jeffrey Negrea
Mahdi Haghifam
Gintare Karolina Dziugaite
Ashish Khisti
Daniel M. Roy
FedML
145
149
0
06 Nov 2019
Information-theoretic analysis of generalization capability of learning
  algorithms
Information-theoretic analysis of generalization capability of learning algorithms
Aolin Xu
Maxim Raginsky
103
442
0
22 May 2017
Optimal rates for zero-order convex optimization: the power of two
  function evaluations
Optimal rates for zero-order convex optimization: the power of two function evaluations
John C. Duchi
Michael I. Jordan
Martin J. Wainwright
Andre Wibisono
54
480
0
07 Dec 2013
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic
  Programming
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic Programming
Saeed Ghadimi
Guanghui Lan
ODL
57
1,538
0
22 Sep 2013
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