Nesterov's Accelerated Gradient and Momentum as approximations to Regularised Update Descent
Not on the map. Why?
Abstract (arXiv)
We present a unifying framework for adapting the update direction in gradient-based iterative optimization methods. As natural special cases we re-derive classical momentum and Nesterov's accelerated gradient method, lending a new intuitive interpretation to the latter algorithm. We show that a new algorithm, which we term Regularised Gradient Descent, can converge more quickly than either Nesterov's algorithm or the classical momentum algorithm.
Key facts. Cited by 26 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 Jul 2016.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 4; 2022: 4; 2023: 7; 2024: 5; 2025: 4; 2026: 2.
26 papers.
Sort:
- 2023Multi-modal Learning with Missing Modality via Shared-Specific Feature Modellingcited by 159
- 2023Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modalitycited by 44
- 2022Learning from Future: A Novel Self-Training Framework for Semantic Segmentationcited by 21
- 2021Correcting Momentum in Temporal Difference Learningcited by 12
- 2023Towards a universal mechanism for successful deep learningcited by 8
- 2022HRel: Filter Pruning based on High Relevance between Activation Maps and Class Labelscited by 7
- 2022Efficient shallow learning as an alternative to deep learningcited by 6
- 2024Meta-Learned Modality-Weighted Knowledge Distillation for Robust Multi-Modal Learning with Missing Datacited by 5
- 2025DATA: Multi-Disentanglement based Contrastive Learning for Open-World Semi-Supervised Deepfake Attributioncited by 5
- 2023The mechanism underlying successful deep learningcited by 4
- 2025Clothes-Changing Person Re-identification Based On Skeleton Dynamicscited by 4
- 2023Enhancing the accuracies by performing pooling decisions adjacent to the output layercited by 3
14 more
- 2023Can we learn better with hard samples?cited by 3
- 2024Robust Semi-supervised Learning via f-Divergence and α-R'enyi Divergencecited by 3
- 2021Improving Adversarial Robustness for Free with Snapshot Ensemblecited by 1
- 2021UAV-based Crowd Surveillance in Post COVID-19 Eracited by 1
- 2023The Disharmony between BN and ReLU Causes Gradient Explosion, but is Offset by the Correlation between Activationscited by 1
- 2024Role of Delay in Brain Dynamicscited by 1
- 2024Error estimates between SGD with momentum and underdamped Langevin diffusioncited by 1
- 2021DNA: Dynamic Network Augmentationcited by 0
- 2022Two-stream Multi-dimensional Convolutional Network for Real-time Violence Detectioncited by 0
- 2024A Scientific Machine Learning Approach for Predicting and Forecasting Battery Degradation in Electric Vehiclescited by 0
- 2025Enhanced NIRMAL Optimizer With Damped Nesterov Acceleration: A Comparative Analysiscited by 0
- 2025A Proportional-Integral Controller-Incorporated SGD Algorithm for High Efficient Latent Factor Analysiscited by 0
- 2026Riemannian Lyapunov Optimizer: A Unified Framework for Optimizationcited by 0
- 2026Token-UNet: A New Case for Transformers Integration in Efficient and Interpretable 3D UNets for Brain Imaging Segmentationcited by 0
- 2026Token-UNet: A New Case for Transformers Integration in Efficient and Interpretable 3D UNets for Brain Imaging Segmentation23 Feb 2026
- 2026Riemannian Lyapunov Optimizer: A Unified Framework for Optimization29 Jan 2026
- 2025A Proportional-Integral Controller-Incorporated SGD Algorithm for High Efficient Latent Factor Analysis25 Aug 2025
- 2025Enhanced NIRMAL Optimizer With Damped Nesterov Acceleration: A Comparative Analysis22 Aug 2025
- 2025DATA: Multi-Disentanglement based Contrastive Learning for Open-World Semi-Supervised Deepfake Attribution7 May 2025
- 2025Clothes-Changing Person Re-identification Based On Skeleton Dynamics13 Mar 2025
- 2024Error estimates between SGD with momentum and underdamped Langevin diffusion22 Oct 2024
- 2024A Scientific Machine Learning Approach for Predicting and Forecasting Battery Degradation in Electric Vehicles18 Oct 2024
- 2024Role of Delay in Brain Dynamics15 Oct 2024
- 2024Meta-Learned Modality-Weighted Knowledge Distillation for Robust Multi-Modal Learning with Missing Data12 May 2024
- 2024Robust Semi-supervised Learning via f-Divergence and α-R'enyi Divergence1 May 2024
- 2023Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality2 Oct 2023
14 more
- 2023Towards a universal mechanism for successful deep learning14 Sep 2023
- 2023Multi-modal Learning with Missing Modality via Shared-Specific Feature Modelling26 Jul 2023
- 2023The mechanism underlying successful deep learning29 May 2023
- 2023The Disharmony between BN and ReLU Causes Gradient Explosion, but is Offset by the Correlation between Activations23 Apr 2023
- 2023Can we learn better with hard samples?7 Apr 2023
- 2023Enhancing the accuracies by performing pooling decisions adjacent to the output layer10 Mar 2023
- 2022Efficient shallow learning as an alternative to deep learning15 Nov 2022
- 2022Two-stream Multi-dimensional Convolutional Network for Real-time Violence Detection8 Nov 2022
- 2022Learning from Future: A Novel Self-Training Framework for Semantic Segmentation15 Sep 2022
- 2022HRel: Filter Pruning based on High Relevance between Activation Maps and Class Labels22 Feb 2022
- 2021DNA: Dynamic Network Augmentation17 Dec 2021
- 2021UAV-based Crowd Surveillance in Post COVID-19 Era28 Nov 2021
- 2021Improving Adversarial Robustness for Free with Snapshot Ensemble7 Oct 2021
- 2021Correcting Momentum in Temporal Difference Learning7 Jun 2021
- 2023Multi-modal Learning with Missing Modality via Shared-Specific Feature Modellingcited by 159
- 2023Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modalitycited by 44
- 2022Learning from Future: A Novel Self-Training Framework for Semantic Segmentationcited by 21
- 2021Correcting Momentum in Temporal Difference Learningcited by 12
- 2023Towards a universal mechanism for successful deep learningcited by 8
- 2022HRel: Filter Pruning based on High Relevance between Activation Maps and Class Labelscited by 7
- 2022Efficient shallow learning as an alternative to deep learningcited by 6
- 2024Meta-Learned Modality-Weighted Knowledge Distillation for Robust Multi-Modal Learning with Missing Datacited by 5
- 2025DATA: Multi-Disentanglement based Contrastive Learning for Open-World Semi-Supervised Deepfake Attributioncited by 5
- 2023The mechanism underlying successful deep learningcited by 4
- 2025Clothes-Changing Person Re-identification Based On Skeleton Dynamicscited by 4
- 2023Enhancing the accuracies by performing pooling decisions adjacent to the output layercited by 3
12 most cited of 26 All 26 (JSON)
- 2026Token-UNet: A New Case for Transformers Integration in Efficient and Interpretable 3D UNets for Brain Imaging Segmentation23 Feb 2026
- 2026Riemannian Lyapunov Optimizer: A Unified Framework for Optimization29 Jan 2026
- 2025A Proportional-Integral Controller-Incorporated SGD Algorithm for High Efficient Latent Factor Analysis25 Aug 2025
- 2025Enhanced NIRMAL Optimizer With Damped Nesterov Acceleration: A Comparative Analysis22 Aug 2025
- 2025DATA: Multi-Disentanglement based Contrastive Learning for Open-World Semi-Supervised Deepfake Attribution7 May 2025
- 2025Clothes-Changing Person Re-identification Based On Skeleton Dynamics13 Mar 2025
- 2024Error estimates between SGD with momentum and underdamped Langevin diffusion22 Oct 2024
- 2024A Scientific Machine Learning Approach for Predicting and Forecasting Battery Degradation in Electric Vehicles18 Oct 2024
- 2024Role of Delay in Brain Dynamics15 Oct 2024
- 2024Meta-Learned Modality-Weighted Knowledge Distillation for Robust Multi-Modal Learning with Missing Data12 May 2024
- 2024Robust Semi-supervised Learning via f-Divergence and α-R'enyi Divergence1 May 2024
- 2023Learnable Cross-modal Knowledge Distillation for Multi-modal Learning with Missing Modality2 Oct 2023
12 newest of 26 All 26 (JSON)