Dynamic Momentum Recalibration in Online Gradient Learning
Fuente:
arXiv
Guardado en:
| Autores principales: | Yao, Zhipeng, Yu, Rui, Chang, Guisong, Li, Ying, Zhang, Yu, Li, Dazhou |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Signal Processing Meets SGD: From Momentum to Filter
por: Yao, Zhipeng, et al.
Publicado: (2023)
por: Yao, Zhipeng, et al.
Publicado: (2023)
Elucidating Representation Degradation Problem in Diffusion Model Training
por: Yao, Zhipeng, et al.
Publicado: (2026)
por: Yao, Zhipeng, et al.
Publicado: (2026)
PolyhedronNet: Representation Learning for Polyhedra with Surface-attributed Graph
por: Yu, Dazhou, et al.
Publicado: (2025)
por: Yu, Dazhou, et al.
Publicado: (2025)
Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction
por: Yu, Dazhou, et al.
Publicado: (2024)
por: Yu, Dazhou, et al.
Publicado: (2024)
PolygonGNN: Representation Learning for Polygonal Geometries with Heterogeneous Visibility Graph
por: Yu, Dazhou, et al.
Publicado: (2024)
por: Yu, Dazhou, et al.
Publicado: (2024)
UDQL: Bridging The Gap between MSE Loss and The Optimal Value Function in Offline Reinforcement Learning
por: Zhang, Yu, et al.
Publicado: (2024)
por: Zhang, Yu, et al.
Publicado: (2024)
Stochastic Normalized Gradient Descent with Momentum for Large-Batch Training
por: Zhao, Shen-Yi, et al.
Publicado: (2020)
por: Zhao, Shen-Yi, et al.
Publicado: (2020)
Dynamic Allocation Hypernetwork with Adaptive Model Recalibration for Federated Continual Learning
por: Qi, Xiaoming, et al.
Publicado: (2025)
por: Qi, Xiaoming, et al.
Publicado: (2025)
Fast Stochastic Policy Gradient: Negative Momentum for Reinforcement Learning
por: Zhang, Haobin, et al.
Publicado: (2024)
por: Zhang, Haobin, et al.
Publicado: (2024)
Dynamic Allocation Hypernetwork with Adaptive Model Recalibration for FCL
por: Qi, Xiaoming, et al.
Publicado: (2025)
por: Qi, Xiaoming, et al.
Publicado: (2025)
Perceive, Route and Modulate: Dynamic Pattern Recalibration for Time Series Forecasting
por: Zhong, Siru, et al.
Publicado: (2026)
por: Zhong, Siru, et al.
Publicado: (2026)
Measuring Learning Progress via Gradient-Momentum Coupling
por: Blad, Samuel, et al.
Publicado: (2026)
por: Blad, Samuel, et al.
Publicado: (2026)
Ordered Momentum for Asynchronous SGD
por: Shi, Chang-Wei, et al.
Publicado: (2024)
por: Shi, Chang-Wei, et al.
Publicado: (2024)
Learning to Trust Experience: A Monitor-Trust-Regulator Framework for Learning under Unobservable Feedback Reliability
por: Zhang, Zhipeng, et al.
Publicado: (2026)
por: Zhang, Zhipeng, et al.
Publicado: (2026)
BP(λ): Online Learning via Synthetic Gradients
por: Pemberton, Joseph, et al.
Publicado: (2024)
por: Pemberton, Joseph, et al.
Publicado: (2024)
Online Statistical Inference for Contextual Bandits via Stochastic Gradient Descent
por: Chang, Xiangyu, et al.
Publicado: (2022)
por: Chang, Xiangyu, et al.
Publicado: (2022)
Transferable Unsupervised Outlier Detection Framework for Human Semantic Trajectories
por: Zhang, Zheng, et al.
Publicado: (2024)
por: Zhang, Zheng, et al.
Publicado: (2024)
HOME-3: High-Order Momentum Estimator with Third-Power Gradient for Convex and Smooth Nonconvex Optimization
por: Zhang, Wei, et al.
Publicado: (2025)
por: Zhang, Wei, et al.
Publicado: (2025)
On the Generalization of Stochastic Gradient Descent with Momentum
por: Ramezani-Kebrya, Ali, et al.
Publicado: (2018)
por: Ramezani-Kebrya, Ali, et al.
Publicado: (2018)
Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning
por: Lin, Haoxin, et al.
Publicado: (2024)
por: Lin, Haoxin, et al.
Publicado: (2024)
Ordered Local Momentum for Asynchronous Distributed Learning under Arbitrary Delays
por: Shi, Chang-Wei, et al.
Publicado: (2026)
por: Shi, Chang-Wei, et al.
Publicado: (2026)
Universal Online Learning with Gradient Variations: A Multi-layer Online Ensemble Approach
por: Yan, Yu-Hu, et al.
Publicado: (2023)
por: Yan, Yu-Hu, et al.
Publicado: (2023)
Accelerated Policy Gradient: On the Convergence Rates of the Nesterov Momentum for Reinforcement Learning
por: Chen, Yen-Ju, et al.
Publicado: (2023)
por: Chen, Yen-Ju, et al.
Publicado: (2023)
Global Momentum Compression for Sparse Communication in Distributed Learning
por: Shi, Chang-Wei, et al.
Publicado: (2019)
por: Shi, Chang-Wei, et al.
Publicado: (2019)
Momentum Approximation in Asynchronous Private Federated Learning
por: Yu, Tao, et al.
Publicado: (2024)
por: Yu, Tao, et al.
Publicado: (2024)
Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers
por: Yan, Kai, et al.
Publicado: (2024)
por: Yan, Kai, et al.
Publicado: (2024)
Building Gradient Bridges: Label Leakage from Restricted Gradient Sharing in Federated Learning
por: Zhang, Rui, et al.
Publicado: (2024)
por: Zhang, Rui, et al.
Publicado: (2024)
Few-Shot Recalibration of Language Models
por: Li, Xiang Lisa, et al.
Publicado: (2024)
por: Li, Xiang Lisa, et al.
Publicado: (2024)
Rethinking Momentum Knowledge Distillation in Online Continual Learning
por: Michel, Nicolas, et al.
Publicado: (2023)
por: Michel, Nicolas, et al.
Publicado: (2023)
Bayesian Online Natural Gradient (BONG)
por: Jones, Matt, et al.
Publicado: (2024)
por: Jones, Matt, et al.
Publicado: (2024)
Decentralized Nonconvex Composite Federated Learning with Gradient Tracking and Momentum
por: Zhou, Yuan, et al.
Publicado: (2025)
por: Zhou, Yuan, et al.
Publicado: (2025)
Rapid Learning in Constrained Minimax Games with Negative Momentum
por: Fang, Zijian, et al.
Publicado: (2024)
por: Fang, Zijian, et al.
Publicado: (2024)
PAC-Bayes Analysis for Recalibration in Classification
por: Fujisawa, Masahiro, et al.
Publicado: (2024)
por: Fujisawa, Masahiro, et al.
Publicado: (2024)
Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging
por: AlQuabeh, Hilal, et al.
Publicado: (2024)
por: AlQuabeh, Hilal, et al.
Publicado: (2024)
Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability
por: Zhang, Yu-Jie, et al.
Publicado: (2025)
por: Zhang, Yu-Jie, et al.
Publicado: (2025)
Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics
por: Zhang, Xinyu, et al.
Publicado: (2024)
por: Zhang, Xinyu, et al.
Publicado: (2024)
Parallel Momentum Methods Under Biased Gradient Estimations
por: Beikmohammadi, Ali, et al.
Publicado: (2024)
por: Beikmohammadi, Ali, et al.
Publicado: (2024)
Grams: Gradient Descent with Adaptive Momentum Scaling
por: Cao, Yang, et al.
Publicado: (2024)
por: Cao, Yang, et al.
Publicado: (2024)
Semantic Communication-Enhanced Split Federated Learning for Vehicular Networks: Architecture, Challenges, and Case Study
por: Yu, Lu, et al.
Publicado: (2026)
por: Yu, Lu, et al.
Publicado: (2026)
Global Convergence of Wasserstein Policy Gradient for Entropy-Regularized Reinforcement Learning
por: Zhu, Zhaoyu, et al.
Publicado: (2026)
por: Zhu, Zhaoyu, et al.
Publicado: (2026)
Ejemplares similares
-
Signal Processing Meets SGD: From Momentum to Filter
por: Yao, Zhipeng, et al.
Publicado: (2023) -
Elucidating Representation Degradation Problem in Diffusion Model Training
por: Yao, Zhipeng, et al.
Publicado: (2026) -
PolyhedronNet: Representation Learning for Polyhedra with Surface-attributed Graph
por: Yu, Dazhou, et al.
Publicado: (2025) -
Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction
por: Yu, Dazhou, et al.
Publicado: (2024) -
PolygonGNN: Representation Learning for Polygonal Geometries with Heterogeneous Visibility Graph
por: Yu, Dazhou, et al.
Publicado: (2024)