Saved in:
| Main Authors: | Zhou, Linjiang, Ma, Chao, Wang, Zepeng, Wu, Libing, Shi, Xiaochuan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.07711 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Axiomatization of Gradient Smoothing in Neural Networks
by: Zhou, Linjiang, et al.
Published: (2024)
by: Zhou, Linjiang, et al.
Published: (2024)
$\mathrm{E^{2}CFD}$: Towards Effective and Efficient Cost Function Design for Safe Reinforcement Learning via Large Language Model
by: Wang, Zepeng, et al.
Published: (2024)
by: Wang, Zepeng, et al.
Published: (2024)
Noise-Adaptive Layerwise Learning Rates: Accelerating Geometry-Aware Optimization for Deep Neural Network Training
by: Hao, Jie, et al.
Published: (2025)
by: Hao, Jie, et al.
Published: (2025)
Domain Adaptive Unfolded Graph Neural Networks
by: Zhang, Zepeng, et al.
Published: (2024)
by: Zhang, Zepeng, et al.
Published: (2024)
A Large Language Model-Enhanced Q-learning for Capacitated Vehicle Routing Problem with Time Windows
by: Cao, Linjiang, et al.
Published: (2025)
by: Cao, Linjiang, et al.
Published: (2025)
Can Adaptive Gradient Methods Converge under Heavy-Tailed Noise? A Case Study of AdaGrad
by: Liu, Zijian
Published: (2026)
by: Liu, Zijian
Published: (2026)
From Sorting Algorithms to Scalable Kernels: Bayesian Optimization in High-Dimensional Permutation Spaces
by: Xie, Zikai, et al.
Published: (2025)
by: Xie, Zikai, et al.
Published: (2025)
MDSAM:Memory-Driven Sparse Attention Matrix for LVLMs Hallucination Mitigation
by: Lu, Shuaiye, et al.
Published: (2025)
by: Lu, Shuaiye, et al.
Published: (2025)
DS FedProxGrad: Asymptotic Stationarity Without Noise Floor in Fair Federated Learning
by: Arif, Huzaifa
Published: (2025)
by: Arif, Huzaifa
Published: (2025)
GradNetOT: Learning Optimal Transport Maps with GradNets
by: Chaudhari, Shreyas, et al.
Published: (2025)
by: Chaudhari, Shreyas, et al.
Published: (2025)
AdAdaGrad: Adaptive Batch Size Schemes for Adaptive Gradient Methods
by: Lau, Tim Tsz-Kit, et al.
Published: (2024)
by: Lau, Tim Tsz-Kit, et al.
Published: (2024)
AdaBatchGrad: Combining Adaptive Batch Size and Adaptive Step Size
by: Ostroukhov, Petr, et al.
Published: (2024)
by: Ostroukhov, Petr, et al.
Published: (2024)
AdaGrad Meets Muon: Adaptive Stepsizes for Orthogonal Updates
by: Zhang, Minxin, et al.
Published: (2025)
by: Zhang, Minxin, et al.
Published: (2025)
Latent Diffusion-Based 3D Molecular Recovery from Vibrational Spectra
by: Wu, Wenjin, et al.
Published: (2026)
by: Wu, Wenjin, et al.
Published: (2026)
Clipping Improves Adam-Norm and AdaGrad-Norm when the Noise Is Heavy-Tailed
by: Chezhegov, Savelii, et al.
Published: (2024)
by: Chezhegov, Savelii, et al.
Published: (2024)
Enhanced Federated Optimization: Adaptive Unbiased Client Sampling with Reduced Variance
by: Zeng, Dun, et al.
Published: (2023)
by: Zeng, Dun, et al.
Published: (2023)
Adaptive Algorithms with Sharp Convergence Rates for Stochastic Hierarchical Optimization
by: Gong, Xiaochuan, et al.
Published: (2025)
by: Gong, Xiaochuan, et al.
Published: (2025)
AdaGrad-Diff: A New Version of the Adaptive Gradient Algorithm
by: Bojovic, Matia, et al.
Published: (2026)
by: Bojovic, Matia, et al.
Published: (2026)
Generalized Robust Adaptive-Bandwidth Multi-View Manifold Learning in High Dimensions with Noise
by: Ding, Xiucai, et al.
Published: (2026)
by: Ding, Xiucai, et al.
Published: (2026)
Algorithm-Informed Graph Neural Networks for Leakage Detection and Localization in Water Distribution Networks
by: Zhang, Zepeng, et al.
Published: (2024)
by: Zhang, Zepeng, et al.
Published: (2024)
OrthoGrad Improves Neural Calibration
by: Hedges, C. Evans
Published: (2025)
by: Hedges, C. Evans
Published: (2025)
GradPower: Powering Gradients for Faster Language Model Pre-Training
by: Wang, Jinbo, et al.
Published: (2025)
by: Wang, Jinbo, et al.
Published: (2025)
Constrained Extreme Gradient Boosting for Adapting Reduced-Order Models
by: Baghi, Melika, et al.
Published: (2026)
by: Baghi, Melika, et al.
Published: (2026)
AdaRankGrad: Adaptive Gradient-Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning
by: Refael, Yehonathan, et al.
Published: (2024)
by: Refael, Yehonathan, et al.
Published: (2024)
Mitigating Label Noise on Graph via Topological Sample Selection
by: Wu, Yuhao, et al.
Published: (2024)
by: Wu, Yuhao, et al.
Published: (2024)
AVID: Adapting Video Diffusion Models to World Models
by: Rigter, Marc, et al.
Published: (2024)
by: Rigter, Marc, et al.
Published: (2024)
Training a Label-Noise-Resistant GNN with Reduced Complexity
by: Zhao, Rui, et al.
Published: (2024)
by: Zhao, Rui, et al.
Published: (2024)
Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks
by: Morales, Giorgio, et al.
Published: (2024)
by: Morales, Giorgio, et al.
Published: (2024)
AdaGrad under Anisotropic Smoothness
by: Liu, Yuxing, et al.
Published: (2024)
by: Liu, Yuxing, et al.
Published: (2024)
Does Scaling Law Apply in Time Series Forecasting?
by: Li, Zeyan, et al.
Published: (2025)
by: Li, Zeyan, et al.
Published: (2025)
GradAlign for Training-free Model Performance Inference
by: Li, Yuxuan, et al.
Published: (2024)
by: Li, Yuxuan, et al.
Published: (2024)
Adapting Noise to Data: Generative Flows from 1D Processes
by: Chemseddine, Jannis, et al.
Published: (2025)
by: Chemseddine, Jannis, et al.
Published: (2025)
Universally Empowering Zeroth-Order Optimization via Adaptive Layer-wise Sampling
by: Wang, Fei, et al.
Published: (2026)
by: Wang, Fei, et al.
Published: (2026)
GradMAP: Gradient-Based Multi-Agent Proximal Learning for Grid-Edge Flexibility
by: Zhou, Yihong, et al.
Published: (2026)
by: Zhou, Yihong, et al.
Published: (2026)
GradINN: Gradient Informed Neural Network
by: Aglietti, Filippo, et al.
Published: (2024)
by: Aglietti, Filippo, et al.
Published: (2024)
Revisiting Convergence of AdaGrad with Relaxed Assumptions
by: Hong, Yusu, et al.
Published: (2024)
by: Hong, Yusu, et al.
Published: (2024)
GISExplainer: On Explainability of Graph Neural Networks via Game-theoretic Interaction Subgraphs
by: Xian, Xingping, et al.
Published: (2024)
by: Xian, Xingping, et al.
Published: (2024)
GradStop: Exploring Training Dynamics in Unsupervised Outlier Detection through Gradient
by: Zhang, Yuang, et al.
Published: (2024)
by: Zhang, Yuang, et al.
Published: (2024)
FedBAP: Backdoor Defense via Benign Adversarial Perturbation in Federated Learning
by: Yan, Xinhai, et al.
Published: (2025)
by: Yan, Xinhai, et al.
Published: (2025)
Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection
by: Shao, Qian, et al.
Published: (2024)
by: Shao, Qian, et al.
Published: (2024)
Similar Items
-
Axiomatization of Gradient Smoothing in Neural Networks
by: Zhou, Linjiang, et al.
Published: (2024) -
$\mathrm{E^{2}CFD}$: Towards Effective and Efficient Cost Function Design for Safe Reinforcement Learning via Large Language Model
by: Wang, Zepeng, et al.
Published: (2024) -
Noise-Adaptive Layerwise Learning Rates: Accelerating Geometry-Aware Optimization for Deep Neural Network Training
by: Hao, Jie, et al.
Published: (2025) -
Domain Adaptive Unfolded Graph Neural Networks
by: Zhang, Zepeng, et al.
Published: (2024) -
A Large Language Model-Enhanced Q-learning for Capacitated Vehicle Routing Problem with Time Windows
by: Cao, Linjiang, et al.
Published: (2025)