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Papers matching “gradient descent” 20

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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
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
Convergence of Gradient Descent for Recurrent Neural Networks: A Nonasymptotic Analysis
2025 SIAM Journal on Mathematics of Data Science article Computer Science Neural Networks and Applications Open access

Semih Çaycı, Atilla Eryılmaz

1

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
Reusability report: Comparing gradient descent and Monte Carlo tree search optimization of quantum annealing schedules
2022 Nature Machine Intelligence article Computer Science Quantum Computing Algorithms and Architecture Open access

Matteo M. Wauters, Evert van Nieuwenburg

5

citations
Approximating optimal μ-point distributions over a generalized sphere for Riesz s-energy using a gradient descent algorithm
2026 Information Sciences article Computer Science Advanced Multi-Objective Optimization Algorithms

Mahboubeh Nezhadmoghaddam, Julio Juárez, Jesús Guillermo Falcón-Cardona, Michael Emmerich, Andre H. Deutz

3

citations
Reusability report: Comparing gradient descent and Monte Carlo tree search optimization of quantum annealing schedules
2022 Nature Machine Intelligence article Computer Science Quantum Computing Algorithms and Architecture Open access

0

citations
Reusability report: Comparing gradient descent and Monte Carlo tree search optimization of quantum annealing schedules
2022 Nature Machine Intelligence article Computer Science Quantum Computing Algorithms and Architecture Open access

0

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
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
Weighted approximate quantum natural gradient for variational quantum eigensolver
2026 Quantum Science and Technology article Computer Science Quantum Computing Algorithms and Architecture Open access

Vedran Dunjko, Hao Wang

1

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
Repulsive Curves
2021 ACM Transactions on Graphics article Computer Science Computer Graphics and Visualization Techniques

Chris Yu, H. Ralph Schumacher, Keenan Crane

45

citations
An Eikonal Equation with Vanishing Lagrangian Arising in Global Optimization
2023 Applied Mathematics & Optimization article Computer Science Optimization and Variational Analysis Open access

Martino Bardi, Hicham Kouhkouh

6

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
An Eikonal equation with vanishing Lagrangian arising in Global Optimization
2022 RWTH Publications (RWTH Aachen) article Computer Science Optimization and Variational Analysis Open access

Martino Bardi, Hicham Kouhkouh

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
Subspace Adaptation Prior for Few-Shot Learning
2023 Machine Learning article Computer Science Domain Adaptation and Few-Shot Learning Open access

Mike Huisman, Aske Plaat, Jan N. van Rijn

4

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

20 results