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Papers matching “convergence analysis” 52

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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
Convergence of Gradient Descent for Recurrent Neural Networks: A Nonasymptotic Analysis
2024 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Semih Çaycı, Atilla Eryılmaz

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 based training for linear Graph Neural Networks
2025 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Dhiraj Patel, Anton Savostianov, Michael T. Schaub

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
Tangential Navier–Stokes equations on evolving surfaces: Analysis and simulations
2022 Mathematical Models and Methods in Applied Sciences article Computer Science Advanced Mathematical Modeling in Engineering

Maxim A. Olshanskii, Arnold Reusken, Alexander Zhiliakov

17

citations
Tangential Navier-Stokes equations on evolving surfaces: Analysis and simulations
2022 arXiv (Cornell University) preprint Computer Science Advanced Mathematical Modeling in Engineering Open access

Maxim A. Olshanskii, Arnold Reusken, Alexander Zhiliakov

2

citations
Finite-Time Analysis of Natural Actor-Critic for POMDPs
2022 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Semih Çaycı, Niao He, R. Srikant

0

citations
Towards Continuous Mathematical Models for the Analysis of Classes of Deep Neural Networks
2024 Springer eBooks book-chapter Computer Science Neural Networks and Applications

Angela Kunoth, Mathias Oster, Reinhold Schneider

0

citations
Strong Global Convergence of the Consensus-Based Optimization Algorithm
2025 RWTH Publications (RWTH Aachen) preprint Computer Science Distributed Control Multi-Agent Systems Open access

Sabrina Bonandin, Konstantin Riedl, Sara Veneruso

0

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
A Sensitivity Analysis Framework for Gerchberg-Saxton based Physics-Inspired Neural Networks in Computer-Generated Holography
2026 IEEE Transactions on Computational Imaging article Computer Science Neural Networks and Reservoir Computing Open access

Ankit Amrutkar, Bjorn Kampa, Volkmar Schulz, Johannes Stegmaier, Markus Rothermel, Dorit Merhof

0

citations
Optimal rates of convergence for entropy regularization in discounted Markov decision processes
2026 Information and Inference A Journal of the IMA article Computer Science Stochastic Gradient Optimization Techniques Open access

Semih Çaycı

0

citations
Independent Learning in Performative Markov Potential Games
2025 RWTH Publications (RWTH Aachen) conference-paper Computer Science Reinforcement Learning in Robotics Open access

Rilind Sahitaj, Paulius Sasnauskas, Yiğit Yalın, Debmalya Mandal, Goran Radanović

0

citations
Federated Learning in Heterogeneous Networks With Unreliable Communication
2023 IEEE Transactions on Wireless Communications article Computer Science Privacy-Preserving Technologies in Data

Paul Zheng, Yao Lin Zhu, Yulin Hu, Zhengming J. Zhang, Anke Schmeink

40

citations
Multi-iteration Stochastic Optimizers
2026 Applied Mathematics & Optimization article Computer Science Stochastic Gradient Optimization Techniques Open access

André Gustavo Carlon, Luis Espath, Rafael Holdorf Lopez, Raul F. Tempone

3

citations
Fast and Robust Consensus-Based Optimization via Optimal Feedback Control
2026 SIAM Journal on Scientific Computing article Computer Science Distributed Control Multi-Agent Systems Open access

Yuyang Huang, Michaël Herty, Dante Kalise, Nikolas Kantas

1

citations
FedSCS-XGB -- Federated Server-centric surrogate XGBoost for continual health monitoring
2026 arXiv (Cornell University) preprint Computer Science Context-Aware Activity Recognition Systems Open access

Felix Walger, Mehdi Ejtehadi, Anke Schmeink, Diego Paez-Granados

0

citations
Fast and robust consensus-based optimization via optimal feedback control
2024 arXiv (Cornell University) preprint Computer Science Distributed Control Multi-Agent Systems Open access

Yuyang Huang, Michaël Herty, Dante Kalise, Nikolas Kantas

0

citations
An Embedded Corrector Problem for Homogenization. Part I: Theory
2020 Multiscale Modeling and Simulation article Computer Science Advanced Mathematical Modeling in Engineering

Éric Cancès, Virginie Ehrlacher, Frédéric Legoll, Benjamin Stamm, Shuyang Xiang

7

citations
Non-Asymptotic Optimization and Generalization Bounds for Stochastic Gauss-Newton in Overparameterized Models
2025 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Semih Çaycı

0

citations
Federated Learning in Heterogeneous Networks with Unreliable Communication
2021 2021 IEEE Globecom Workshops (GC Wkshps) conference-paper Computer Science Privacy-Preserving Technologies in Data

Paul Zheng, Yao Lin Zhu, Zhengming J. Zhang, Yulin Hu, Anke Schmeink

16

citations
MUSE-BB: a decomposition algorithm for nonconvex two-stage problems using strong multisection branching
2025 Journal of Global Optimization article Computer Science Stochastic Gradient Optimization Techniques Open access

Marco Langiu, Manuel Dahmen, Dominik Bongartz, Alexander Mitsos

0

citations
Distributed Event-Based Learning via ADMM
2024 arXiv (Cornell University) preprint Computer Science Energy Efficient Wireless Sensor Networks Open access

Guner Dilsad Er, Sebastian Trimpe, Michael Muehlebach

0

citations
Performance Enhancement on Sparse Federated Learning Supported by RIS-Aided Communication in the Finite Blocklength Regime
2025 IEEE Transactions on Mobile Computing article Computer Science Privacy-Preserving Technologies in Data

Wei Gao, Paul Zheng, Yulin Hu, Lexi Xu, Anke Schmeink

0

citations