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Papers matching “linear convergence” 38

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Convergence of Entropy-Regularized Natural Policy Gradient with Linear Function Approximation
2024 SIAM Journal on Optimization article Computer Science Reinforcement Learning in Robotics Open access

Semih Çaycı, Niao He, R. Srikant

10

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
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
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
Learning deep linear neural networks: Riemannian gradient flows and convergence to global minimizers
2021 Information and Inference A Journal of the IMA article Computer Science Stochastic Gradient Optimization Techniques Open access

Bubacarr Bah, Holger Rauhut, Ulrich Terstiege, Michael Westdickenberg

29

citations
Fisher–Rao Gradient Flows of Linear Programs and State-Action Natural Policy Gradients
2025 SIAM Journal on Optimization article Computer Science Reinforcement Learning in Robotics Open access

Semih Çaycı, Guido Montúfar

2

citations
Embedded Corrector Problems for Homogenization in Linear Elasticity
2025 Multiscale Modeling and Simulation article Computer Science Advanced Mathematical Modeling in Engineering Open access

Virginie Ehrlacher, Frédéric Legoll, Benjamin Stamm, Shuyang Xiang

1

citations
Derivation of a fourth-order Co-simulation method for linear systems
2022 Results in Engineering article Computer Science Modeling and Simulation Systems Open access

Andrés Acosta, Jairo Jose Espinosa, Antonello Monti

0

citations
Rational Spectral Filters with Optimal Convergence Rate
2021 SIAM Journal on Scientific Computing article Computer Science Matrix Theory and Algorithms Open access

Konrad Kollnig, Paolo Bientinesi, Edoardo Di Napoli

2

citations
The loss landscape of deep linear neural networks: a second-order analysis
2021 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

El Mehdi Achour, François Malgouyres, Sébastien Gerchinovitz

1

citations
A Mean-Field Theory of Transformers: Well-Posedness of the Coupled Data--Parameter Dynamics and Global Convergence of Training
2026 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Michael Herty, Hailiang Liu

0

citations
Edge-Rotated Cone Orders in Multi-objective Evolutionary Algorithms for Improved Convergence and Preference Articulation
2020 IEEE Symposium Series on Computational Intelligence (SSCI) conference-paper Computer Science Advanced Multi-Objective Optimization Algorithms

Yali Wang, Andre H. Deutz, Thomas Bäck, Michael Emmerich

2

citations
A Test for FLOPs as a Discriminant for Linear Algebra Algorithms
2022 IEEE International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD) conference-paper Computer Science Matrix Theory and Algorithms Open access

Aravind Sankaran, Paolo Bientinesi

1

citations
Embedded corrector problems for homogenization in linear elasticity
2023 HAL (Le Centre pour la Communication Scientifique Directe) article Computer Science Advanced Mathematical Modeling in Engineering Open access

Virginie Ehrlacher, Frédéric Legoll, Benjamin Stamm, Shuyang Xiang

0

citations
A Newton Method for Solving Locally Definite Multiparameter Eigenvalue Problems by Multi-index
2025 SIAM Journal on Matrix Analysis and Applications article Computer Science Matrix Theory and Algorithms Open access

Henrik Eisenmann

2

citations
A Newton method for solving locally definite multiparameter eigenvalue problems by multiindex
2024 arXiv (Cornell University) preprint Computer Science Matrix Theory and Algorithms Open access

Henrik Eisenmann

0

citations
Kinetic variable-sample methods for stochastic optimization problems
2025 Communications on Pure &amp Applied Analysis article Computer Science Distributed Control Multi-Agent Systems Open access

Sabrina Bonandin, Michaël Herty

0

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
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
Synthesis of accelerated gradient algorithms for optimization and saddle point problems using Lyapunov functions and LMIs
2022 Systems & Control Letters article Computer Science Optimization and Variational Analysis

Dennis Gramlich, Christian Ebenbauer, Carsten W. Scherer

7

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
Synthesizing optimal bias in randomized self-stabilization
2021 Distributed Computing article Computer Science Distributed systems and fault tolerance Open access

Matthias Volk, Borzoo Bonakdarpour, Joost-Pieter Katoen, Saba Aflaki

3

citations
Progressively Projected Newton's Method
2026 Computer Graphics Forum article Computer Science Computer Graphics and Visualization Techniques Open access

José Antonio Fernández-Fernández, Fabian Löschner, Jan Bender

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