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Papers matching “gradient analysis” 51

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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
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
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
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
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 Advanced Graph Neural Networks Open access

Dhiraj Patel, Anton Savostianov, Michael T. Schaub

0

citations
Differential privacy enables fair and accurate AI-based analysis of speech disorders while protecting patient data
2025 npj Artificial Intelligence article Computer Science Privacy-Preserving Technologies in Data Open access

Soroosh Tayebi Arasteh, Mahshad Lotfinia, Paula Andrea Pérez-Toro, Tomás Arias‐Vergara, Mahtab Ranji, Juan Rafael Orozco‐Arroyave, +3 more

5

citations
The pretraining domain outweighs the training objective in setting the privacy-utility trade-off of differentially private medical image analysis
2026 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Soroosh Tayebi Arasteh, Mina Farajiamiri, Mahshad Lotfinia, Behrus Puladi, Jonas Bienzeisler, Mohamed Alhaskir, +4 more

0

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
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
2023 Applied and Computational Harmonic Analysis article Computer Science Stochastic Gradient Optimization Techniques

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

14

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
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
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
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
Global Stability and Step Size Robustness of RMSProp
2026 IEEE Control Systems Letters article Computer Science Stochastic Gradient Optimization Techniques

Naum Dimitrieski, Maria Christine Honecker, Carsten W. Scherer, Christian Ebenbauer

1

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
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
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
An Eikonal Equation with Vanishing Lagrangian Arising in Global Optimization
2023 Applied Mathematics & Optimization article Computer Science Optimization and Variational Analysis Open access

Martino Bardi, Hicham Kouhkouh

6

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

1

citations
Cholesky-like Preconditioner for Hodge Laplacians via Heavy Collapsible Subcomplex
2024 SIAM Journal on Matrix Analysis and Applications article Computer Science Matrix Theory and Algorithms

Anton Savostianov, Francesco Tudisco, Nicola Guglielmi

0

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
An Eikonal equation with vanishing Lagrangian arising in Global Optimization
2022 RWTH Publications (RWTH Aachen) article Computer Science Optimization and Variational Analysis Open access

Martino Bardi, Hicham Kouhkouh

0

citations