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PAC-Bayes bounds for stable algorithms with instance-dependent priors
v1v2 (latest)

PAC-Bayes bounds for stable algorithms with instance-dependent priors

18 June 2018
Omar Rivasplata
E. Parrado-Hernández
John Shawe-Taylor
Shiliang Sun
Csaba Szepesvári
ArXiv (abs)PDFHTML

Papers citing "PAC-Bayes bounds for stable algorithms with instance-dependent priors"

20 / 20 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
146
0
0
03 Apr 2025
Generalization of Hamiltonian algorithms
Generalization of Hamiltonian algorithms
Andreas Maurer
76
1
0
23 May 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
150
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
154
0
0
08 Nov 2023
Differentially Private Algorithms for the Stochastic Saddle Point
  Problem with Optimal Rates for the Strong Gap
Differentially Private Algorithms for the Stochastic Saddle Point Problem with Optimal Rates for the Strong Gap
Raef Bassily
Cristóbal Guzmán
Michael Menart
FedML
109
8
0
24 Feb 2023
On Convergence of FedProx: Local Dissimilarity Invariant Bounds,
  Non-smoothness and Beyond
On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond
Xiao-Tong Yuan
P. Li
FedML
77
62
0
10 Jun 2022
Higher-Order Generalization Bounds: Learning Deep Probabilistic Programs
  via PAC-Bayes Objectives
Higher-Order Generalization Bounds: Learning Deep Probabilistic Programs via PAC-Bayes Objectives
J. Warrell
M. Gerstein
GP
51
1
0
30 Mar 2022
Probabilistic fine-tuning of pruning masks and PAC-Bayes self-bounded
  learning
Probabilistic fine-tuning of pruning masks and PAC-Bayes self-bounded learning
Soufiane Hayou
Bo He
Gintare Karolina Dziugaite
60
2
0
22 Oct 2021
On Margins and Derandomisation in PAC-Bayes
On Margins and Derandomisation in PAC-Bayes
Felix Biggs
Benjamin Guedj
93
20
0
08 Jul 2021
Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform
  Stability
Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability
Alec Farid
Anirudha Majumdar
81
36
0
12 Feb 2021
PAC-Bayes Bounds for Meta-learning with Data-Dependent Prior
PAC-Bayes Bounds for Meta-learning with Data-Dependent Prior
Tianyu Liu
Jie Lu
Zheng Yan
Guangquan Zhang
56
14
0
07 Feb 2021
PAC-Bayes Analysis Beyond the Usual Bounds
PAC-Bayes Analysis Beyond the Usual Bounds
Omar Rivasplata
Ilja Kuzborskij
Csaba Szepesvári
John Shawe-Taylor
123
80
0
23 Jun 2020
On the role of data in PAC-Bayes bounds
On the role of data in PAC-Bayes bounds
Gintare Karolina Dziugaite
Kyle Hsu
W. Gharbieh
Gabriel Arpino
Daniel M. Roy
90
78
0
19 Jun 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
212
153
0
06 Nov 2019
Efron-Stein PAC-Bayesian Inequalities
Efron-Stein PAC-Bayesian Inequalities
Ilja Kuzborskij
Csaba Szepesvári
86
22
0
04 Sep 2019
PAC-Bayes Un-Expected Bernstein Inequality
PAC-Bayes Un-Expected Bernstein Inequality
Zakaria Mhammedi
Peter Grünwald
Benjamin Guedj
72
47
0
31 May 2019
High probability generalization bounds for uniformly stable algorithms
  with nearly optimal rate
High probability generalization bounds for uniformly stable algorithms with nearly optimal rate
Vitaly Feldman
J. Vondrák
74
155
0
27 Feb 2019
On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex
  Learning
On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex Learning
Jian Li
Xuanyuan Luo
Mingda Qiao
73
89
0
02 Feb 2019
A Primer on PAC-Bayesian Learning
A Primer on PAC-Bayesian Learning
Benjamin Guedj
179
223
0
16 Jan 2019
Bayesian Counterfactual Risk Minimization
Bayesian Counterfactual Risk Minimization
Ben London
Ted Sandler
OffRL
38
33
0
29 Jun 2018
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