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Papers matching “gradient descent” 59

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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
Convergence of gradient descent for learning linear neural networks
2021 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Gabin Maxime Nguegnang, Holger Rauhut, Ulrich Terstiege

1

citations
Gradient Descent for Deep Matrix Factorization: Dynamics and Implicit Bias towards Low Rank
2020 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

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

2

citations
Convergence of Gradient Descent for Recurrent Neural Networks: A Nonasymptotic Analysis
2024 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Semih Çaycı, Atilla Eryılmaz

0

citations
Stochastic Gradient Descent with Momentum: Analysis and Synthesis via Integral Quadratic Constraints
2026 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Dennis Gramlich, Carsten W. Scherer, Christian Ebenbauer

0

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
Finite-Time Analysis of Gradient Descent for Shallow Transformers
2026 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Enes Arda, Semih Çaycı, Atilla Eryılmaz

0

citations
Riemannian gradient descent-based quantum algorithms for ground state preparation with guarantees
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Mahum Pervez, Ariq Haqq, Nathan A. McMahon, Christian Arenz

0

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 Randomized Controllers under Partial Observability
2021 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Linus Heck, Jip Spel, Sebastian Junges, Joshua Moerman, Joost-Pieter Katoen

0

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
Gradient Descent for Deep Matrix Factorization: Dynamics and Implicit Bias Towards Low Rank
2022 SSRN Electronic Journal preprint Computer Science Stochastic Gradient Optimization Techniques Open access

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

5

citations
A Poisson Jump-driven SDE Approach to Distributed Gradient Descent with Sparse Communication
2025 arXiv (Cornell University) preprint Computer Science Distributed Control Multi-Agent Systems Open access

John Paul Strachan, Christian Ebenbauer

0

citations
Gradient-Descent for Randomized Controllers Under Partial Observability
2022 Lecture notes in computer science conference-paper Computer Science Formal Methods in Verification

Linus Heck, Jip Spel, Sebastian Junges, Joshua Moerman, Joost-Pieter Katoen

13

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
Ensemble Kalman Filter Optimizing Deep Neural Networks: An Alternative Approach to Non-performing Gradient Descent
2020 Lecture notes in computer science conference-paper Computer Science Stochastic Gradient Optimization Techniques

Alper Yegenoglu, Kai Krajsek, Sandra Diaz-Pier, Michaël Herty

7

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
Efficient Hamiltonian-aware Quantum Natural Gradient Descent for Variational Quantum Eigensolvers
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Hao Wang

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
Convergence of gradient based training for linear Graph Neural Networks
2025 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Dhiraj Patel, Anton Savostianov, Michael T. Schaub

0

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
Equating quantum imaginary time evolution, Riemannian gradient flows, and stochastic implementations
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Nathan A. McMahon, Mahum Pervez, Christian Arenz

0

citations