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Time-independent Generalization Bounds for SGLD in Non-convex Settings

Time-independent Generalization Bounds for SGLD in Non-convex Settings

25 November 2021
Tyler Farghly
Patrick Rebeschini
ArXivPDFHTML

Papers citing "Time-independent Generalization Bounds for SGLD in Non-convex Settings"

15 / 15 papers shown
Title
Understanding the Generalization Error of Markov algorithms through Poissonization
Understanding the Generalization Error of Markov algorithms through Poissonization
Benjamin Dupuis
Maxime Haddouche
George Deligiannidis
Umut Simsekli
47
0
0
11 Feb 2025
Provable Accuracy Bounds for Hybrid Dynamical Optimization and Sampling
Provable Accuracy Bounds for Hybrid Dynamical Optimization and Sampling
Matthew Burns
Qingyuan Hou
Michael Huang
158
1
0
08 Oct 2024
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
48
2
0
26 Apr 2024
Convex SGD: Generalization Without Early Stopping
Convex SGD: Generalization Without Early Stopping
Julien Hendrickx
A. Olshevsky
MLT
LRM
25
1
0
08 Jan 2024
Generalization Bounds for Label Noise Stochastic Gradient Descent
Generalization Bounds for Label Noise Stochastic Gradient Descent
Jung Eun Huh
Patrick Rebeschini
13
1
0
01 Nov 2023
Uniform-in-Time Wasserstein Stability Bounds for (Noisy) Stochastic
  Gradient Descent
Uniform-in-Time Wasserstein Stability Bounds for (Noisy) Stochastic Gradient Descent
Lingjiong Zhu
Mert Gurbuzbalaban
Anant Raj
Umut Simsekli
34
6
0
20 May 2023
Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions
Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions
Anant Raj
Lingjiong Zhu
Mert Gurbuzbalaban
Umut Simsekli
31
15
0
27 Jan 2023
Geometric ergodicity of SGLD via reflection coupling
Geometric ergodicity of SGLD via reflection coupling
Lei Li
Jian‐Guo Liu
Yuliang Wang
47
2
0
17 Jan 2023
Neural Networks Efficiently Learn Low-Dimensional Representations with
  SGD
Neural Networks Efficiently Learn Low-Dimensional Representations with SGD
Alireza Mousavi-Hosseini
Sejun Park
M. Girotti
Ioannis Mitliagkas
Murat A. Erdogdu
MLT
324
48
0
29 Sep 2022
Generalisation under gradient descent via deterministic PAC-Bayes
Generalisation under gradient descent via deterministic PAC-Bayes
Eugenio Clerico
Tyler Farghly
George Deligiannidis
Benjamin Guedj
Arnaud Doucet
31
4
0
06 Sep 2022
A sharp uniform-in-time error estimate for Stochastic Gradient Langevin Dynamics
A sharp uniform-in-time error estimate for Stochastic Gradient Langevin Dynamics
Lei Li
Yuliang Wang
39
11
0
19 Jul 2022
Algorithmic Stability of Heavy-Tailed Stochastic Gradient Descent on
  Least Squares
Algorithmic Stability of Heavy-Tailed Stochastic Gradient Descent on Least Squares
Anant Raj
Melih Barsbey
Mert Gurbuzbalaban
Lingjiong Zhu
Umut Simsekli
19
9
0
02 Jun 2022
Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for
  Full-Batch GD
Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD
Konstantinos E. Nikolakakis
Farzin Haddadpour
Amin Karbasi
Dionysios S. Kalogerias
43
17
0
26 Apr 2022
Stability Based Generalization Bounds for Exponential Family Langevin
  Dynamics
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics
A. Banerjee
Tiancong Chen
Xinyan Li
Yingxue Zhou
34
8
0
09 Jan 2022
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
113
147
0
06 Nov 2019
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