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Papers matching “norm convergence” 15

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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
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
Approximation Algorithms for Discounted Graph Search with Norm Objectives
2026 arXiv (Cornell University) preprint Computer Science Complexity and Algorithms in Graphs Open access

Svenja M. Griesbach, Felix Hommelsheim, Max Klimm

0

citations
Approximation Algorithms for Discounted Graph Search with Norm Objectives
2026 arXiv (Cornell University) preprint Computer Science Complexity and Algorithms in Graphs Open access

Svenja M. Griesbach, Felix Hommelsheim, Max Klimm

0

citations
PENDANTSS: PEnalized Norm-ratios Disentangling Additive Noise, Trend and Sparse Spikes
2023 arXiv (Cornell University) preprint Engineering Sparse and Compressive Sensing Techniques Open access

Paul Zheng, Émilie Chouzenoux, Laurent C. Duval

0

citations
Asymptotic Log-Det Rank Minimization via (Alternating) Iteratively Reweighted Least Squares
2021 arXiv (Cornell University) preprint Engineering Sparse and Compressive Sensing Techniques Open access

Sebastian Krämer

1

citations
Spectrally accurate fully discrete schemes for some nonlocal and nonlinear integrable PDEs via explicit formulas
2024 arXiv (Cornell University) preprint Mathematics Numerical methods for differential equations Open access

Yvonne Alama Bronsard, Xi Chen, Matthieu Dolbeault

1

citations
More is Less: Inducing Sparsity via Overparameterization
2021 arXiv (Cornell University) preprint Engineering Sparse and Compressive Sensing Techniques Open access

Hung-Hsu Chou, Johannes Maly, Holger Rauhut

1

citations
A mass-preserving two-step Lagrange-Galerkin scheme for convection-diffusion problems
2021 arXiv (Cornell University) preprint Engineering Advanced Numerical Methods in Computational Mathematics Open access

Kouta Futai, Niklas Kolbe, Hirofumi Notsu, Tasuku Suzuki

0

citations
Does Unfairness Evoke Anger or Disgust? A Quantitative Neurofunctional Dissection Based on 25 Years of Neuroimaging
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Neuroscience Neural and Behavioral Psychology Studies Open access

Xianyang Gan, Ran Zhang, Zihao Zheng, Benjamin Klugah‐Brown, Ting Xu, Nan Qiu, +5 more

2

citations
Rapid Mixing of Quantum Gibbs Samplers for Weakly-Interacting Quantum Systems
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Štěpán Šmíd, Mario Berta, Roberto Bondesan

1

citations
A Residual Based A Posteriori Error Estimators for AFC Schemes for Convection-Diffusion Equations
2020 arXiv (Cornell University) preprint Engineering Advanced Numerical Methods in Computational Mathematics Open access

Abhinav Jha

8

citations
Reduction and Observer Design for a Grey-Box Model in Continuous Pharmaceutical Manufacturing
2022 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Ahmed Elkhashap, Dirk Abel

0

citations
Fat tails and the need to disclose distribution parameters of qEEG databases
2022 medRxiv preprint Neuroscience EEG and Brain-Computer Interfaces Open access

Guilherme Maia de Oliveira Wood, Klaus Willmes, Silvia Erika Kober

0

citations
Démélange, déconvolution et débruitage conjoints d'un modèle convolutif parcimonieux avec dérive instrumentale, par pénalisation de rapports de normes ou quasi-normes lissées (PENDANTSS)
2023 arXiv (Cornell University) preprint Engineering Sparse and Compressive Sensing Techniques Open access

Paul Zheng, Émilie Chouzenoux, Laurent C. Duval

0

citations

15 results