Achieving More with Less: A Tensor-Optimization-Powered Ensemble Method
Fuente:
arXiv
Guardado en:
| Autores principales: | Yuan, Jinghui, Jiang, Weijin, Cao, Zhe, Xie, Fangyuan, Wang, Rong, Nie, Feiping, Yuan, Yuan |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Riemannian Optimization on Relaxed Indicator Matrix Manifold
por: Yuan, Jinghui, et al.
Publicado: (2025)
por: Yuan, Jinghui, et al.
Publicado: (2025)
A Margin-Maximizing Fine-Grained Ensemble Method
por: Yuan, Jinghui, et al.
Publicado: (2024)
por: Yuan, Jinghui, et al.
Publicado: (2024)
Dual-Bounded Nonlinear Optimal Transport for Size Constrained Min Cut Clustering
por: Xie, Fangyuan, et al.
Publicado: (2025)
por: Xie, Fangyuan, et al.
Publicado: (2025)
Doubly Stochastic Adaptive Neighbors Clustering via the Marcus Mapping
por: Yuan, Jinghui, et al.
Publicado: (2024)
por: Yuan, Jinghui, et al.
Publicado: (2024)
Nora: Normalized Orthogonal Row Alignment for Scalable Matrix Optimizer
por: Yuan, Jinghui, et al.
Publicado: (2026)
por: Yuan, Jinghui, et al.
Publicado: (2026)
Multi-class Support Vector Machine with Maximizing Minimum Margin
por: Hao, Zhezheng, et al.
Publicado: (2023)
por: Hao, Zhezheng, et al.
Publicado: (2023)
Fast Semi-supervised Learning on Large Graphs: An Improved Green-function Method
por: Nie, Feiping, et al.
Publicado: (2024)
por: Nie, Feiping, et al.
Publicado: (2024)
On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization
por: Zhou, Dongruo, et al.
Publicado: (2018)
por: Zhou, Dongruo, et al.
Publicado: (2018)
Transformer Multivariate Forecasting: Less is More?
por: Xu, Jingjing, et al.
Publicado: (2023)
por: Xu, Jingjing, et al.
Publicado: (2023)
A Greedy Strategy for Graph Cut
por: Nie, Feiping, et al.
Publicado: (2024)
por: Nie, Feiping, et al.
Publicado: (2024)
Decoupled Orthogonal Dynamics: Regularization for Deep Network Optimizers
por: Chen, Hao, et al.
Publicado: (2026)
por: Chen, Hao, et al.
Publicado: (2026)
Less is More: Efficient Model Merging with Binary Task Switch
por: Qi, Biqing, et al.
Publicado: (2024)
por: Qi, Biqing, et al.
Publicado: (2024)
Clustering Based on Density Propagation and Subcluster Merging
por: Nie, Feiping, et al.
Publicado: (2024)
por: Nie, Feiping, et al.
Publicado: (2024)
Towards Federated Clustering: A Client-wise Private Graph Aggregation Framework
por: He, Guanxiong, et al.
Publicado: (2025)
por: He, Guanxiong, et al.
Publicado: (2025)
Supernova: Achieving More with Less in Transformer Architectures
por: Tanase, Andrei-Valentin, et al.
Publicado: (2025)
por: Tanase, Andrei-Valentin, et al.
Publicado: (2025)
Looped Transformers with Layer Normalization Provably Learn the Power Method
por: Wu, Lyumin, et al.
Publicado: (2026)
por: Wu, Lyumin, et al.
Publicado: (2026)
Multi-Task Curriculum Graph Contrastive Learning with Clustering Entropy Guidance
por: Zeng, Chusheng, et al.
Publicado: (2024)
por: Zeng, Chusheng, et al.
Publicado: (2024)
ECTO: Exogenous-Conditioned Temporal Operator for Ultra-Short-Term Wind Power Forecasting
por: Yuan, Cao, et al.
Publicado: (2026)
por: Yuan, Cao, et al.
Publicado: (2026)
Robust Capped lp-Norm Support Vector Ordinal Regression
por: Xiang, Haorui, et al.
Publicado: (2024)
por: Xiang, Haorui, et al.
Publicado: (2024)
From PowerSGD to PowerSGD+: Low-Rank Gradient Compression for Distributed Optimization with Convergence Guarantees
por: Xie, Shengping, et al.
Publicado: (2025)
por: Xie, Shengping, et al.
Publicado: (2025)
Learning Game-Playing Agents with Generative Code Optimization
por: Kuang, Zhiyi, et al.
Publicado: (2025)
por: Kuang, Zhiyi, et al.
Publicado: (2025)
Achieving Linear Speedup with ProxSkip in Distributed Stochastic Optimization
por: Guo, Luyao, et al.
Publicado: (2023)
por: Guo, Luyao, et al.
Publicado: (2023)
Adaptive Fuzzy C-Means with Graph Embedding
por: Chen, Qiang, et al.
Publicado: (2024)
por: Chen, Qiang, et al.
Publicado: (2024)
PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting
por: Yu, Yongbo, et al.
Publicado: (2024)
por: Yu, Yongbo, et al.
Publicado: (2024)
Edit Less, Achieve More: Dynamic Sparse Neuron Masking for Lifelong Knowledge Editing in LLMs
por: Liu, Jinzhe, et al.
Publicado: (2025)
por: Liu, Jinzhe, et al.
Publicado: (2025)
Memory-Guided Trust-Region Bayesian Optimization (MG-TuRBO) for High Dimensions
por: Saroj, Abhilasha, et al.
Publicado: (2026)
por: Saroj, Abhilasha, et al.
Publicado: (2026)
Learning to Rebalance Multi-Modal Optimization by Adaptively Masking Subnetworks
por: Yang, Yang, et al.
Publicado: (2024)
por: Yang, Yang, et al.
Publicado: (2024)
A Memory Efficient Randomized Subspace Optimization Method for Training Large Language Models
por: Chen, Yiming, et al.
Publicado: (2025)
por: Chen, Yiming, et al.
Publicado: (2025)
Tensor Gaussian Processes: Efficient Solvers for Nonlinear PDEs
por: Yuan, Qiwei, et al.
Publicado: (2025)
por: Yuan, Qiwei, et al.
Publicado: (2025)
Tensor Graph Convolutional Network for Dynamic Graph Representation Learning
por: Wang, Ling, et al.
Publicado: (2024)
por: Wang, Ling, et al.
Publicado: (2024)
When Less is More: Achieving Faster Convergence in Distributed Edge Machine Learning
por: Basani, Advik Raj, et al.
Publicado: (2024)
por: Basani, Advik Raj, et al.
Publicado: (2024)
SCFNet:A Transferable IIIC EEG Classification Network
por: Xu, Weijin
Publicado: (2024)
por: Xu, Weijin
Publicado: (2024)
A Block Coordinate Descent Method for Nonsmooth Composite Optimization under Orthogonality Constraints
por: Yuan, Ganzhao
Publicado: (2023)
por: Yuan, Ganzhao
Publicado: (2023)
Tensor Methods in High Dimensional Data Analysis: Opportunities and Challenges
por: Auddy, Arnab, et al.
Publicado: (2024)
por: Auddy, Arnab, et al.
Publicado: (2024)
On Principled Local Optimization Methods for Federated Learning
por: Yuan, Honglin
Publicado: (2024)
por: Yuan, Honglin
Publicado: (2024)
On the Power of Foundation Models
por: Yuan, Yang
Publicado: (2022)
por: Yuan, Yang
Publicado: (2022)
Adaptive Lipschitz-Free Conditional Gradient Methods for Stochastic Composite Nonconvex Optimization
por: Yuan, Ganzhao
Publicado: (2026)
por: Yuan, Ganzhao
Publicado: (2026)
Randomized Tensor Ring Decomposition and Its Application to Large-scale Data Reconstruction
por: Yuan, Longhao, et al.
Publicado: (2019)
por: Yuan, Longhao, et al.
Publicado: (2019)
UniDiff: A Unified Diffusion Framework for Multimodal Time Series Forecasting
por: Zhang, Da, et al.
Publicado: (2025)
por: Zhang, Da, et al.
Publicado: (2025)
Quantize What Counts: More for Keys, Less for Values
por: Hariri, Mohsen, et al.
Publicado: (2025)
por: Hariri, Mohsen, et al.
Publicado: (2025)
Ejemplares similares
-
Riemannian Optimization on Relaxed Indicator Matrix Manifold
por: Yuan, Jinghui, et al.
Publicado: (2025) -
A Margin-Maximizing Fine-Grained Ensemble Method
por: Yuan, Jinghui, et al.
Publicado: (2024) -
Dual-Bounded Nonlinear Optimal Transport for Size Constrained Min Cut Clustering
por: Xie, Fangyuan, et al.
Publicado: (2025) -
Doubly Stochastic Adaptive Neighbors Clustering via the Marcus Mapping
por: Yuan, Jinghui, et al.
Publicado: (2024) -
Nora: Normalized Orthogonal Row Alignment for Scalable Matrix Optimizer
por: Yuan, Jinghui, et al.
Publicado: (2026)