A Margin-Maximizing Fine-Grained Ensemble Method
Fuente:
arXiv
Saved in:
| Main Authors: | Yuan, Jinghui, Chen, Hao, Luo, Renwei, Nie, Feiping |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multi-class Support Vector Machine with Maximizing Minimum Margin
by: Hao, Zhezheng, et al.
Published: (2023)
by: Hao, Zhezheng, et al.
Published: (2023)
Achieving More with Less: A Tensor-Optimization-Powered Ensemble Method
by: Yuan, Jinghui, et al.
Published: (2024)
by: Yuan, Jinghui, et al.
Published: (2024)
Riemannian Optimization on Relaxed Indicator Matrix Manifold
by: Yuan, Jinghui, et al.
Published: (2025)
by: Yuan, Jinghui, et al.
Published: (2025)
Dual-Bounded Nonlinear Optimal Transport for Size Constrained Min Cut Clustering
by: Xie, Fangyuan, et al.
Published: (2025)
by: Xie, Fangyuan, et al.
Published: (2025)
Nora: Normalized Orthogonal Row Alignment for Scalable Matrix Optimizer
by: Yuan, Jinghui, et al.
Published: (2026)
by: Yuan, Jinghui, et al.
Published: (2026)
A Vectorization Method Induced By Maximal Margin Classification For Persistent Diagrams
by: Wu, An, et al.
Published: (2024)
by: Wu, An, et al.
Published: (2024)
Doubly Stochastic Adaptive Neighbors Clustering via the Marcus Mapping
by: Yuan, Jinghui, et al.
Published: (2024)
by: Yuan, Jinghui, et al.
Published: (2024)
Fast Semi-supervised Learning on Large Graphs: An Improved Green-function Method
by: Nie, Feiping, et al.
Published: (2024)
by: Nie, Feiping, et al.
Published: (2024)
Adaptive Fuzzy C-Means with Graph Embedding
by: Chen, Qiang, et al.
Published: (2024)
by: Chen, Qiang, et al.
Published: (2024)
Group Resonance Network: Learnable Prototypes and Multi-Subject Resonance for EEG Emotion Recognition
by: Meng, Renwei
Published: (2026)
by: Meng, Renwei
Published: (2026)
PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting
by: Yu, Yongbo, et al.
Published: (2024)
by: Yu, Yongbo, et al.
Published: (2024)
A Greedy Strategy for Graph Cut
by: Nie, Feiping, et al.
Published: (2024)
by: Nie, Feiping, et al.
Published: (2024)
Faster Margin Maximization Rates for Generic and Adversarially Robust Optimization Methods
by: Wang, Guanghui, et al.
Published: (2023)
by: Wang, Guanghui, et al.
Published: (2023)
Decoupled Orthogonal Dynamics: Regularization for Deep Network Optimizers
by: Chen, Hao, et al.
Published: (2026)
by: Chen, Hao, et al.
Published: (2026)
A Bound on the Maximal Marginal Degrees of Freedom
by: Dommel, Paul
Published: (2024)
by: Dommel, Paul
Published: (2024)
Clustering Based on Density Propagation and Subcluster Merging
by: Nie, Feiping, et al.
Published: (2024)
by: Nie, Feiping, et al.
Published: (2024)
UniDiff: A Unified Diffusion Framework for Multimodal Time Series Forecasting
by: Zhang, Da, et al.
Published: (2025)
by: Zhang, Da, et al.
Published: (2025)
Towards Federated Clustering: A Client-wise Private Graph Aggregation Framework
by: He, Guanxiong, et al.
Published: (2025)
by: He, Guanxiong, et al.
Published: (2025)
Simple Multigraph Convolution Networks
by: Wu, Danyang, et al.
Published: (2024)
by: Wu, Danyang, et al.
Published: (2024)
Hadamard-Riemannian Optimization for Margin-Variance Ensemble
by: Jin, Zexu
Published: (2025)
by: Jin, Zexu
Published: (2025)
Robust Capped lp-Norm Support Vector Ordinal Regression
by: Xiang, Haorui, et al.
Published: (2024)
by: Xiang, Haorui, et al.
Published: (2024)
FusAD: Time-Frequency Fusion with Adaptive Denoising for General Time Series Analysis
by: Zhang, Da, et al.
Published: (2025)
by: Zhang, Da, et al.
Published: (2025)
Learning Performance Maximizing Ensembles with Explainability Guarantees
by: Pisztora, Vincent, et al.
Published: (2023)
by: Pisztora, Vincent, et al.
Published: (2023)
On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization
by: Zhou, Dongruo, et al.
Published: (2018)
by: Zhou, Dongruo, et al.
Published: (2018)
FAIM: Frequency-Aware Interactive Mamba for Time Series Classification
by: Zhang, Da, et al.
Published: (2025)
by: Zhang, Da, et al.
Published: (2025)
T-TIME: Test-Time Information Maximization Ensemble for Plug-and-Play BCIs
by: Li, Siyang, et al.
Published: (2024)
by: Li, Siyang, et al.
Published: (2024)
Fine-Grained Traceability for Transparent ML Pipelines
by: Chen, Liping, et al.
Published: (2026)
by: Chen, Liping, et al.
Published: (2026)
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization
by: Fazlyab, Mahyar, et al.
Published: (2023)
by: Fazlyab, Mahyar, et al.
Published: (2023)
Achieving Margin Maximization Exponentially Fast via Progressive Norm Rescaling
by: Wang, Mingze, et al.
Published: (2023)
by: Wang, Mingze, et al.
Published: (2023)
SFMP: Fine-Grained, Hardware-Friendly and Search-Free Mixed-Precision Quantization for Large Language Models
by: Nie, Xin, et al.
Published: (2026)
by: Nie, Xin, et al.
Published: (2026)
Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI
by: Seedat, Nabeel, et al.
Published: (2024)
by: Seedat, Nabeel, et al.
Published: (2024)
INT v.s. FP: A Comprehensive Study of Fine-Grained Low-bit Quantization Formats
by: Chen, Mengzhao, et al.
Published: (2025)
by: Chen, Mengzhao, et al.
Published: (2025)
Memory-Guided Trust-Region Bayesian Optimization (MG-TuRBO) for High Dimensions
by: Saroj, Abhilasha, et al.
Published: (2026)
by: Saroj, Abhilasha, et al.
Published: (2026)
Attack Smarter: Attention-Driven Fine-Grained Webpage Fingerprinting Attacks
by: Yuan, Yali, et al.
Published: (2025)
by: Yuan, Yali, et al.
Published: (2025)
Fine-Grained Model Merging via Modular Expert Recombination
by: Qiu, Haiyun, et al.
Published: (2026)
by: Qiu, Haiyun, et al.
Published: (2026)
The Ensemble Inverse Problem: Applications and Methods
by: Huan, Zhengyan, et al.
Published: (2026)
by: Huan, Zhengyan, et al.
Published: (2026)
Adaptive Ensembles of Fine-Tuned Transformers for LLM-Generated Text Detection
by: Lai, Zhixin, et al.
Published: (2024)
by: Lai, Zhixin, et al.
Published: (2024)
Multi-Task Curriculum Graph Contrastive Learning with Clustering Entropy Guidance
by: Zeng, Chusheng, et al.
Published: (2024)
by: Zeng, Chusheng, et al.
Published: (2024)
Data Selection for LLM Alignment Using Fine-Grained Preferences
by: Zhang, Jia, et al.
Published: (2025)
by: Zhang, Jia, et al.
Published: (2025)
On the Effectiveness of Heterogeneous Ensemble Methods for Re-identification
by: Klüttermann, Simon, et al.
Published: (2024)
by: Klüttermann, Simon, et al.
Published: (2024)
Similar Items
-
Multi-class Support Vector Machine with Maximizing Minimum Margin
by: Hao, Zhezheng, et al.
Published: (2023) -
Achieving More with Less: A Tensor-Optimization-Powered Ensemble Method
by: Yuan, Jinghui, et al.
Published: (2024) -
Riemannian Optimization on Relaxed Indicator Matrix Manifold
by: Yuan, Jinghui, et al.
Published: (2025) -
Dual-Bounded Nonlinear Optimal Transport for Size Constrained Min Cut Clustering
by: Xie, Fangyuan, et al.
Published: (2025) -
Nora: Normalized Orthogonal Row Alignment for Scalable Matrix Optimizer
by: Yuan, Jinghui, et al.
Published: (2026)