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. 2106.04881
  4. Cited By
Fractal Structure and Generalization Properties of Stochastic
  Optimization Algorithms

Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms

9 June 2021
A. Camuto
George Deligiannidis
Murat A. Erdogdu
Mert Gurbuzbalaban
Umut cSimcsekli
Lingjiong Zhu
ArXivPDFHTML

Papers citing "Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms"

12 / 12 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
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
42
2
0
26 Apr 2024
From Mutual Information to Expected Dynamics: New Generalization Bounds
  for Heavy-Tailed SGD
From Mutual Information to Expected Dynamics: New Generalization Bounds for Heavy-Tailed SGD
Benjamin Dupuis
Paul Viallard
18
3
0
01 Dec 2023
From Stability to Chaos: Analyzing Gradient Descent Dynamics in
  Quadratic Regression
From Stability to Chaos: Analyzing Gradient Descent Dynamics in Quadratic Regression
Xuxing Chen
Krishnakumar Balasubramanian
Promit Ghosal
Bhavya Agrawalla
33
7
0
02 Oct 2023
Generalization Guarantees via Algorithm-dependent Rademacher Complexity
Generalization Guarantees via Algorithm-dependent Rademacher Complexity
Sarah Sachs
T. Erven
Liam Hodgkinson
Rajiv Khanna
Umut Simsekli
25
3
0
04 Jul 2023
Learning Fractals by Gradient Descent
Learning Fractals by Gradient Descent
Cheng-Hao Tu
Hong-You Chen
David Carlyn
Wei-Lun Chao
23
2
0
14 Mar 2023
Generalization Bounds with Data-dependent Fractal Dimensions
Generalization Bounds with Data-dependent Fractal Dimensions
Benjamin Dupuis
George Deligiannidis
Umut cSimcsekli
AI4CE
39
12
0
06 Feb 2023
Two Facets of SDE Under an Information-Theoretic Lens: Generalization of
  SGD via Training Trajectories and via Terminal States
Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States
Ziqiao Wang
Yongyi Mao
27
10
0
19 Nov 2022
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
Trajectory-dependent Generalization Bounds for Deep Neural Networks via
  Fractional Brownian Motion
Trajectory-dependent Generalization Bounds for Deep Neural Networks via Fractional Brownian Motion
Chengli Tan
Jiang Zhang
Junmin Liu
35
1
0
09 Jun 2022
Intrinsic Dimension, Persistent Homology and Generalization in Neural
  Networks
Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks
Tolga Birdal
Aaron Lou
Leonidas J. Guibas
Umut cSimcsekli
30
61
0
25 Nov 2021
Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks
Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks
Umut Simsekli
Ozan Sener
George Deligiannidis
Murat A. Erdogdu
44
55
0
16 Jun 2020
1