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Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions

Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions

27 January 2023
Anant Raj
Lingjiong Zhu
Mert Gurbuzbalaban
Umut Simsekli
ArXivPDFHTML

Papers citing "Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions"

13 / 13 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
Limit Theorems for Stochastic Gradient Descent with Infinite Variance
Limit Theorems for Stochastic Gradient Descent with Infinite Variance
Jose H. Blanchet
Aleksandar Mijatović
Wenhao Yang
31
0
0
21 Oct 2024
Crafting Heavy-Tails in Weight Matrix Spectrum without Gradient Noise
Crafting Heavy-Tails in Weight Matrix Spectrum without Gradient Noise
Vignesh Kothapalli
Tianyu Pang
Shenyang Deng
Zongmin Liu
Yaoqing Yang
40
3
0
07 Jun 2024
Privacy of SGD under Gaussian or Heavy-Tailed Noise: Guarantees without Gradient Clipping
Privacy of SGD under Gaussian or Heavy-Tailed Noise: Guarantees without Gradient Clipping
Umut Simsekli
Mert Gurbuzbalaban
S. Yıldırım
Lingjiong Zhu
38
2
0
04 Mar 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
Temperature Balancing, Layer-wise Weight Analysis, and Neural Network
  Training
Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training
Yefan Zhou
Tianyu Pang
Keqin Liu
Charles H. Martin
Michael W. Mahoney
Yaoqing Yang
42
7
0
01 Dec 2023
Approximate Heavy Tails in Offline (Multi-Pass) Stochastic Gradient
  Descent
Approximate Heavy Tails in Offline (Multi-Pass) Stochastic Gradient Descent
Krunoslav Lehman Pavasovic
Alain Durmus
Umut Simsekli
OffRL
20
2
0
27 Oct 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
Efficient Sampling of Stochastic Differential Equations with Positive
  Semi-Definite Models
Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models
Anant Raj
Umut Simsekli
Alessandro Rudi
DiffM
31
1
0
30 Mar 2023
Cyclic and Randomized Stepsizes Invoke Heavier Tails in SGD than
  Constant Stepsize
Cyclic and Randomized Stepsizes Invoke Heavier Tails in SGD than Constant Stepsize
Mert Gurbuzbalaban
Yuanhan Hu
Umut Simsekli
Lingjiong Zhu
LRM
23
1
0
10 Feb 2023
Generalization Bounds for Stochastic Gradient Descent via Localized
  $\varepsilon$-Covers
Generalization Bounds for Stochastic Gradient Descent via Localized ε\varepsilonε-Covers
Sejun Park
Umut Simsekli
Murat A. Erdogdu
43
9
0
19 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
Chaotic Regularization and Heavy-Tailed Limits for Deterministic
  Gradient Descent
Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient Descent
S. H. Lim
Yijun Wan
Umut cSimcsekli
37
12
0
23 May 2022
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