From

Institution

Field

Type

Open access only Cited by patents (Lens) Include non-Aachen papers (citing/cited)

Reset

Papers matching “linear convergence” 159

Sort: Relevance Cited Newest Oldest Fwci Patents ⇩ CSV

Not finding it? Sign in to also search OpenAlex live.

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 Analysis of Grad's Hermite Expansion for Linear Kinetic Equations
2020 SIAM Journal on Numerical Analysis article Mathematics Gas Dynamics and Kinetic Theory Open access

Neeraj Sarna, Jan Giesselmann, Manuel Torrilhon

11

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 of the Immersed Interface Method in Linear Elasticity
2026 La Matematica article Engineering Advanced Numerical Methods in Computational Mathematics Open access

Sabia Asghar, Qiyao Peng, E. Javierre, Fred J. Vermolen

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
Variational convergence of discrete elasticae
2020 IMA Journal of Numerical Analysis article Engineering Advanced Numerical Methods in Computational Mathematics Open access

Sebastian Scholtes, H. Ralph Schumacher, Max Wardetzky

10

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
A Comparative Study of Polygonal Element Formulations for Linear Elasticity
2025 PAMM article Engineering Numerical methods in engineering Open access

Ajay Kumar Pasupuleti, Mathias Reichle, Anna Hellers, Njomza Pacolli, Stefanie Reese, Hagen Holthusen, +2 more

0

citations
Robust Inference for Generalized Linear Mixed Models: A “Two-Stage Summary Statistics” Approach Based on Score Sign Flipping
2025 Psychometrika article Mathematics Statistical Methods and Bayesian Inference Open access

Angela Andreella, Jelle J. Goeman, Jesse Hemerik, Livio Finos

5

citations
A Linear Scaling in Accuracy Numerical Method for Computing the Electrostatic Forces in the $N$-Body Dielectric Spheres Problem
2020 Communications in Computational Physics article Physics and Astronomy Electromagnetic Scattering and Analysis

Muhammad Hassan, Benjamin Stamm

3

citations
A Linear Scaling in Accuracy Numerical Method for Computing the Electrostatic Forces in the $N$-Body Dielectric Spheres Problem
2020 arXiv (Cornell University) preprint Physics and Astronomy Electromagnetic Scattering and Analysis Open access

Muhammad Hassan, Benjamin Stamm

0

citations
WEAK ERROR RATES FOR OPTION PRICING UNDER LINEAR ROUGH VOLATILITY
2022 International Journal of Theoretical and Applied Finance article Economics, Econometrics and Finance Stochastic processes and financial applications Open access

Christian Bayer, Eric Joseph Hall, Raul F. Tempone

12

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 multi-vector interface quasi-Newton method with linear complexity for partitioned fluid–structure interaction
2020 Computer Methods in Applied Mechanics and Engineering article Engineering Advanced Numerical Methods in Computational Mathematics Open access

Thomas Spenke, Norbert Hosters, Marek Behr

32

citations
Convergence of the non-staggered Nessyahu-Tadmor scheme for coupled systems of one-dimensional nonlocal balance laws
2025 arXiv (Cornell University) preprint Engineering Computational Fluid Dynamics and Aerodynamics Open access

Sanjibanee Sudha, Jan O. Friedrich, Samala Rathan

0

citations
The FLAMINGO project: baryonic impact on weak gravitational lensing convergence peak counts
2024 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Cosmology and Gravitation Theories Open access

Jeger C. Broxterman, Matthieu Schaller, Joop Schaye, Henk Hoekstra, Konrad H. Kuijken, John C Helly, +9 more

15

citations
Ray-traced weak lensing convergence in screened modified gravity theories
2026 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Cosmology and Gravitation Theories Open access

Mattia Pantiri, Matthieu Schaller, Alessandra Silvestri, Jeger C. Broxterman, Joop Schaye

0

citations
Progressing regressively: conditional convergence and Europeanisation of tax mixes
2024 Journal of European Integration article Social Sciences Social Policy and Reform Studies Open access

Bastiaan Van Ganzen

3

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