:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Zhenxing, Ge, Jun, Wei, Zheng, Zhou, Chunjie, Wang, Yilei
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2402.16026
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A High-Dimensional Feature Selection Algorithm Based on Multiobjective Differential Evolution
by: Zhang, Zhenxing, et al.
Published: (2025)

Global Collinearity-aware Polygonizer for Polygonal Building Mapping in Remote Sensing
by: Zhang, Fahong, et al.
Published: (2025)

Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient
by: Wang, Shaoqi, et al.
Published: (2024)

Improve Representation for Imbalanced Regression through Geometric Constraints
by: Dong, Zijian, et al.
Published: (2025)

Research and application of Transformer based anomaly detection model: A literature review
by: Ma, Mingrui, et al.
Published: (2024)

OMPQ: Orthogonal Mixed Precision Quantization
by: Ma, Yuexiao, et al.
Published: (2021)

Faster Game Solving via Asymmetry of Step Sizes
by: Meng, Linjian, et al.
Published: (2025)

Training Data Selection with Gradient Orthogonality for Efficient Domain Adaptation
by: Zhang, Xiyang, et al.
Published: (2026)

Orthogonal machine learning for conditional odds and risk ratios
by: Ge, Jiacheng, et al.
Published: (2026)

A Support-Set Algorithm for Optimization Problems with Nonnegative and Orthogonal Constraints
by: Wang, Lei, et al.
Published: (2025)

Multi-Disease Deep Learning Framework for GWAS: Beyond Feature Selection Constraints
by: Farooq, Iqra, et al.
Published: (2025)

Local Linear Convergence of Infeasible Optimization with Orthogonal Constraints
by: Sun, Youbang, et al.
Published: (2024)

Privacy-Preserving Orthogonal Aggregation for Guaranteeing Gender Fairness in Federated Recommendation
by: Zhang, Siqing, et al.
Published: (2024)

Selection of the Best Policy under Fairness Constraints for Subpopulations
by: Zhu, Tingyu, et al.
Published: (2026)

FISMO: Fisher-Structured Momentum-Orthogonalized Optimizer
by: Xu, Chenrui, et al.
Published: (2026)

Canonical-Correlation-Based Fast Feature Selection for Structural Health Monitoring
by: Zhang, Sikai, et al.
Published: (2021)

Unsupervised Feature Selection Algorithm Based on Dual Manifold Re-ranking
by: Liang, Yunhui, et al.
Published: (2024)

Unsupervised Feature Selection Algorithm Based on Graph Filtering and Self-representation
by: Liang, Yunhui, et al.
Published: (2024)

Feature Selection Based on Wasserstein Distance
by: Li, Fuwei
Published: (2024)

Generative Regression Based Watch Time Prediction for Short-Video Recommendation
by: Ma, Hongxu, et al.
Published: (2024)

Orthogonal Random Features: Explicit Forms and Sharp Inequalities
by: Demni, Nizar, et al.
Published: (2023)

OrtSAE: Orthogonal Sparse Autoencoders Uncover Atomic Features
by: Korznikov, Anton, et al.
Published: (2025)

Retraction-Free Decentralized Non-convex Optimization with Orthogonal Constraints
by: Sun, Youbang, et al.
Published: (2024)

DeepSelective: Interpretable Prognosis Prediction via Feature Selection and Compression in EHR Data
by: Zhang, Ruochi, et al.
Published: (2025)

Contributing Dimension Structure of Deep Feature for Coreset Selection
by: Wan, Zhijing, et al.
Published: (2024)

VisDiff: SDF-Guided Polygon Generation for Visibility Reconstruction and Recognition
by: Moorthy, Rahul, et al.
Published: (2024)

Understanding InfoNCE: Transition Probability Matrix Induced Feature Clustering
by: Cheng, Ge, et al.
Published: (2025)

Powering Up Zeroth-Order Training via Subspace Gradient Orthogonalization
by: Lang, Yicheng, et al.
Published: (2026)

Orthogonal Nonnegative Matrix Factorization with Sparsity Constraints
by: Basiri, Salar, et al.
Published: (2022)

How Does Gradient Descent Learn Features -- A Local Analysis for Regularized Two-Layer Neural Networks
by: Zhou, Mo, et al.
Published: (2024)

Orientation-Aware Sparse Tensor PCA for Efficient Unsupervised Feature Selection
by: Zheng, Junjing, et al.
Published: (2024)

Employing Iterative Feature Selection in Fuzzy Rule-Based Binary Classification
by: Li, Haoning, et al.
Published: (2024)

Efficient Optimization with Orthogonality Constraint: a Randomized Riemannian Submanifold Method
by: Han, Andi, et al.
Published: (2025)

Diverse Subset Selection via Norm-Based Sampling and Orthogonality
by: Bar, Noga, et al.
Published: (2024)

MinShap: A Modified Shapley Value Approach for Feature Selection
by: Zheng, Chenghui, et al.
Published: (2026)

ROOT: Robust Orthogonalized Optimizer for Neural Network Training
by: He, Wei, et al.
Published: (2025)

A Double Tracking Method for Optimization with Decentralized Generalized Orthogonality Constraints
by: Wang, Lei, et al.
Published: (2024)

Orthogonal Self-Attention
by: Zhang, Leo, et al.
Published: (2026)

A Variance-Reduced Stochastic Gradient Tracking Algorithm for Decentralized Optimization with Orthogonality Constraints
by: Wang, Lei, et al.
Published: (2022)

PolygonGNN: Representation Learning for Polygonal Geometries with Heterogeneous Visibility Graph
by: Yu, Dazhou, et al.
Published: (2024)