Noisy Truncated SGD: Optimization and Generalization

26 February 2021

Papers citing "Noisy Truncated SGD: Optimization and Generalization"

5 / 5 papers shown

Title
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 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 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 Han Xiao Kashif Rasul Roland Vollgraf 170 8,807 0 25 Aug 2017
Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis Maxim Raginsky Alexander Rakhlin Matus Telgarsky 62 518 0 13 Feb 2017