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Papers matching “stochastic gradient descent” 16

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Stochastic Gradient Descent for Constrained Optimization Based on Adaptive Relaxed Barrier Functions
2025 IEEE Control Systems Letters article Computer Science Stochastic Gradient Optimization Techniques

Naum Dimitrieski, Jing Cao, Christian Ebenbauer

3

citations
Deep Relaxation of Controlled Stochastic Gradient Descent via Singular Perturbations
2024 SIAM Journal on Control and Optimization article Computer Science Advanced Mathematical Modeling in Engineering Open access

Martino Bardi, Hicham Kouhkouh

4

citations
Equating quantum imaginary time evolution, Riemannian gradient flows, and stochastic implementations
2026 Physical Review Research article Computer Science Quantum Computing Algorithms and Architecture Open access

Nathan A. McMahon, Mahum Pervez, Christian Arenz

4

citations
Convergence of gradient descent for learning linear neural networks
2024 Advances in Continuous and Discrete Models article Computer Science Stochastic Gradient Optimization Techniques Open access

Gabin Maxime Nguegnang, Holger Rauhut, Ulrich Terstiege

10

citations
Gradient descent for deep matrix factorization: Dynamics and implicit bias towards low rank
2023 Applied and Computational Harmonic Analysis article Computer Science Stochastic Gradient Optimization Techniques

Hung-Hsu Chou, Carsten Gieshoff, Johannes Maly, Holger Rauhut

14

citations
Convergence guarantees for forward gradient descent in the linear regression model
2024 Journal of Statistical Planning and Inference article Computer Science Stochastic Gradient Optimization Techniques Open access

Thijs Bos, Johannes Schmidt-Hieber

0

citations
Complexity Analysis of stochastic gradient methods for PDE-constrained optimal Control Problems with uncertain parameters
2021 ESAIM Mathematical Modelling and Numerical Analysis article Engineering Advanced Numerical Methods in Computational Mathematics Open access

Matthieu Martin, Sebastian Krumscheid, Fabio Nobile

27

citations
Improving the small-signal stability of a stochastic power system — Algorithms and mathematical analysis
2025 Chaos Solitons & Fractals article Engineering Power System Optimization and Stability

Zhen Wang, Kaihua Xi, Aijie Cheng, Hai Xiang Lin, Jan H. van Schuppen

0

citations
Resource frugal optimizer for quantum machine learning
2023 Quantum Science and Technology article Computer Science Quantum Computing Algorithms and Architecture Open access

Charles Moussa, Max Hunter Gordon, Michał Bączyk, Marco Cerezo, Łukasz Cincio, Patrick J. Coles

9

citations
Forecasting future bigrams and promising patents: introducing text-based link prediction
2022 foresight article Business, Management and Accounting Intellectual Property and Patents

Nils M. Denter, Lukas Jan Aaldering, Hüseyin Caferoglu

15

citations
Kernel‐based online learning for real‐time voltage control in distribution networks
2020 IET Smart Grid article Engineering Optimal Power Flow Distribution Open access

Lisette Cupelli, Alejandro Lago Esteban, Ferdinanda Ponci, Antonello Monti

4

citations
Focal Sampling: SGD biased towards early important samples for efficient image classification with augmentation selection
2025 Knowledge and Information Systems article Computer Science Machine Learning and Data Classification Open access

Alessio Quercia, Abigail Morrison, Hanno Scharr, Ira Assent

0

citations
Global Stability and Step Size Robustness of RMSProp
2026 IEEE Control Systems Letters article Computer Science Stochastic Gradient Optimization Techniques

Naum Dimitrieski, Maria Christine Honecker, Carsten W. Scherer, Christian Ebenbauer

1

citations
More is less: inducing sparsity via overparameterization
2023 Information and Inference A Journal of the IMA article Engineering Sparse and Compressive Sensing Techniques

Hung-Hsu Chou, Johannes Maly, Holger Rauhut

9

citations
Learning about reflective PPG for SpO2 determination using Machine Learning
2021 Current Directions in Biomedical Engineering article Engineering Non-Invasive Vital Sign Monitoring Open access cited by 1 patent

Idoia Badiola, Vladimír Blažek, Steffen K. Leonhardt, Christoph Hoog Antink

14

citations
Privacy-Preserving Deep Learning for the Detection of Protected Health Information in Real-World Data: Comparative Evaluation
2020 JMIR Formative Research article Computer Science Privacy-Preserving Technologies in Data Open access

Sven Festag, Cord Spreckelsen

12

citations

16 results