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Noisy Truncated SGD: Optimization and Generalization

Noisy Truncated SGD: Optimization and Generalization

Yingxue Zhou
Xinyan Li
A. Banerjee
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Papers citing "Noisy Truncated SGD: Optimization and Generalization"

5 / 5 papers shown
Title
Smoothed Analysis of Online and Differentially Private Learning
Smoothed Analysis of Online and Differentially Private Learning
Nika Haghtalab
Tim Roughgarden
Abhishek Shetty
51
48
0
17 Jun 2020
Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms
Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms
Mahdi Haghifam
Jeffrey Negrea
Ashish Khisti
Daniel M. Roy
Gintare Karolina Dziugaite
97
105
0
27 Apr 2020
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
148
149
0
06 Nov 2019
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
173
8,807
0
25 Aug 2017
Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis
Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis
Maxim Raginsky
Alexander Rakhlin
Matus Telgarsky
64
518
0
13 Feb 2017