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Papers matching “convergence rate” 43

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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
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 rates of deep ReLU networks for multiclass classification
2022 Electronic Journal of Statistics article Computer Science Stochastic Gradient Optimization Techniques Open access

Thijs Bos, Johannes Schmidt-Hieber

21

citations
Convergence rates of deep ReLU networks for multiclass classification
2021 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Thijs Bos, Johannes Schmidt-Hieber

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 Reinforcement Learning in Robotics Open access

Semih Çaycı

0

citations
Optimal Local Convergence Rates of Stochastic First-Order Methods under Local $α$-PL
2024 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Saeed Masiha, Saber Salehkaleybar, Niao He, Negar Kiyavash, Patrick Thiran

0

citations
Faster Convergence for Transformer Fine-tuning with Line Search Methods
2023 conference-paper Computer Science Stochastic Gradient Optimization Techniques Open access

Philip Kenneweg, Leonardo Galli, Tristan Kenneweg, Barbara Hammer

2

citations
Strong Global Convergence of the Consensus-Based Optimization Algorithm
2025 RWTH Publications (RWTH Aachen) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Sabrina Bonandin, Konstantin Riedl, Sara Veneruso

0

citations
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 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
Distributed Event-Based Learning via ADMM
2024 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Guner Dilsad Er, Sebastian Trimpe, Michael Muehlebach

0

citations
Towards Self-adaptive Mutation in Evolutionary Multi-Objective Algorithms
2023 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Furong Ye, Frank Neumann, Jacob de Nobel, Aneta Neumann, Thomas Bäck

0

citations
Twofold Adaptive Design Space Reduction for Constrained Bayesian Optimization of Transonic Compressor Blades
2024 conference-paper Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Lisa Pretsch, Ilya Arsenyev, Elena Raponi, Fabian M. E. Duddeck

5

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
Fast and Robust Consensus-Based Optimization via Optimal Feedback Control
2026 SIAM Journal on Scientific Computing article Computer Science Metaheuristic Optimization Algorithms Research Open access

Yuyang Huang, Michaël Herty, Dante Kalise, Nikolas Kantas

2

citations
Fast and robust consensus-based optimization via optimal feedback control
2024 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Yuyang Huang, Michaël Herty, Dante Kalise, Nikolas Kantas

0

citations
Unified field theoretical approach to deep and recurrent neuronal networks
2022 Journal of Statistical Mechanics Theory and Experiment article Computer Science Gaussian Processes and Bayesian Inference Open access

Kai Segadlo, Bastian Epping, Alexander van Meegen, David Dahmen, Moritz Helias

17

citations
Understanding and Improving Optimization in Predictive Coding Networks
2024 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Neural Networks and Applications Open access

Jeffrey L. Krichmar, Emre Neftci

5

citations
Consensus-Based Algorithms for Stochastic Optimization Problems
2025 SIAM Journal on Optimization article Computer Science Metaheuristic Optimization Algorithms Research Open access

Sabrina Bonandin, Michaël Herty

2

citations
Understanding and Improving Optimization in Predictive Coding Networks
2023 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Nick Alonso, Jeffrey L. Krichmar, Emre Neftci

0

citations
Covariance Matrix Adaptation Evolution Strategy Assisted by Principal Component Analysis
2021 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Yangjie Mei, Hao Wang

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
Why does CTC result in peaky behavior?
2021 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Albert Zeyer, Ralf Schlüter, Hermann Ney

18

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
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