ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1709.06617
  4. Cited By
A PAC-Bayesian Analysis of Randomized Learning with Application to
  Stochastic Gradient Descent

A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent

19 September 2017
Ben London
ArXivPDFHTML

Papers citing "A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent"

5 / 5 papers shown
Title
Randomized Pairwise Learning with Adaptive Sampling: A PAC-Bayes Analysis
Randomized Pairwise Learning with Adaptive Sampling: A PAC-Bayes Analysis
Sijia Zhou
Yunwen Lei
Ata Kabán
79
0
0
03 Apr 2025
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets
Benjamin Dupuis
Paul Viallard
George Deligiannidis
Umut Simsekli
77
4
0
26 Apr 2024
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift
Renchunzi Xie
Ambroise Odonnat
Vasilii Feofanov
I. Redko
Jianfeng Zhang
Bo An
UQCV
111
1
0
17 Jan 2024
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications
Huayi Tang
Yong Liu
83
0
0
08 Nov 2023
Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses
Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses
Raef Bassily
Vitaly Feldman
Cristóbal Guzmán
Kunal Talwar
MLT
41
192
0
12 Jun 2020
1