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Stochastic Gradient Descent under Markovian Sampling Schemes
v1v2v3 (latest)

Stochastic Gradient Descent under Markovian Sampling Schemes

International Conference on Machine Learning (ICML), 2023
28 February 2023
Mathieu Even
ArXiv (abs)PDFHTML

Papers citing "Stochastic Gradient Descent under Markovian Sampling Schemes"

12 / 12 papers shown
Measuring the Impact of Lexical Training Data Coverage on Hallucination Detection in Large Language Models
Measuring the Impact of Lexical Training Data Coverage on Hallucination Detection in Large Language Models
Shuo Zhang
Fabrizio Gotti
Fengran Mo
J. Nie
HILM
383
0
0
22 Nov 2025
Mitigating Privacy-Utility Trade-off in Decentralized Federated Learning via $f$-Differential Privacy
Mitigating Privacy-Utility Trade-off in Decentralized Federated Learning via fff-Differential Privacy
Xiang Li
Buxin Su
Chendi Wang
Qi Long
Weijie J. Su
FedML
174
1
0
22 Oct 2025
Accelerated Gradient Methods with Biased Gradient Estimates: Risk Sensitivity, High-Probability Guarantees, and Large Deviation Bounds
Accelerated Gradient Methods with Biased Gradient Estimates: Risk Sensitivity, High-Probability Guarantees, and Large Deviation Bounds
Mert Gurbuzbalaban
Yasa Syed
Necdet Serhat Aybat
206
0
0
17 Sep 2025
Random Walk Learning and the Pac-Man Attack
Xingran Chen
Parimal Parag
Rohit Bhagat
Zonghong Liu
S. E. Rouayheb
AAML
203
1
0
01 Aug 2025
Beyond Self-Repellent Kernels: History-Driven Target Towards Efficient Nonlinear MCMC on General Graphs
Beyond Self-Repellent Kernels: History-Driven Target Towards Efficient Nonlinear MCMC on General Graphs
Jie Hu
Yi-Ting Ma
Do Young Eun
363
0
0
23 May 2025
Gradient Descent Algorithm in Hilbert Spaces under Stationary Markov Chains with $ϕ$- and $β$-Mixing
Gradient Descent Algorithm in Hilbert Spaces under Stationary Markov Chains with ϕϕϕ- and βββ-Mixing
Priyanka Roy
Susanne Saminger-Platz
165
0
0
05 Feb 2025
Scalable Decentralized Learning with Teleportation
Scalable Decentralized Learning with TeleportationInternational Conference on Learning Representations (ICLR), 2025
Yuki Takezawa
Sebastian U. Stich
432
1
0
25 Jan 2025
Boosting Asynchronous Decentralized Learning with Model Fragmentation
Boosting Asynchronous Decentralized Learning with Model FragmentationThe Web Conference (WWW), 2024
Sayan Biswas
Anne-Marie Kermarrec
Alexis Marouani
Rafael Pires
Rishi Sharma
M. Vos
258
5
0
16 Oct 2024
Long-Context Linear System Identification
Long-Context Linear System IdentificationInternational Conference on Learning Representations (ICLR), 2024
Oğuz Kaan Yüksel
Mathieu Even
Nicolas Flammarion
350
1
0
08 Oct 2024
The Entrapment Problem in Random Walk Decentralized Learning
The Entrapment Problem in Random Walk Decentralized Learning
Zonghong Liu
S. E. Rouayheb
Matthew Dwyer
171
4
0
30 Jul 2024
Stochastic Approximation with Delayed Updates: Finite-Time Rates under
  Markovian Sampling
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling
Arman Adibi
Nicolò Dal Fabbro
Luca Schenato
Sanjeev R. Kulkarni
H. Vincent Poor
George J. Pappas
Hamed Hassani
A. Mitra
374
9
0
19 Feb 2024
Self-Repellent Random Walks on General Graphs -- Achieving Minimal
  Sampling Variance via Nonlinear Markov Chains
Self-Repellent Random Walks on General Graphs -- Achieving Minimal Sampling Variance via Nonlinear Markov ChainsInternational Conference on Machine Learning (ICML), 2023
Vishwaraj Doshi
Jie Hu
Do Young Eun
266
7
0
08 May 2023
1
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