:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Ziwei, Yuan, Tao, Niu, Shuzi, Li, Huiyuan
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2605.17339
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Factorization-in-Loop: Proximal Fill-in Minimization for Sparse Matrix Reordering
by: Li, Ziwei, et al.
Published: (2025)

Self-Supervised Learning for Sparse Matrix Reordering
by: Li, Ziwei, et al.
Published: (2026)

Learning Fill-in Reduction Ordering via Graph Policy Optimization for Sparse Matrices
by: Li, Ziwei, et al.
Published: (2026)

FLRQ: Faster LLM Quantization with Flexible Low-Rank Matrix Sketching
by: Gul, Hongyaoxing, et al.
Published: (2026)

Deep Two-Way Matrix Reordering for Relational Data Analysis
by: Watanabe, Chihiro, et al.
Published: (2021)

Analyzing and Bridging the Gap between Maximizing Total Reward and Discounted Reward in Deep Reinforcement Learning
by: Yin, Shuyu, et al.
Published: (2024)

Nonnegative Matrix Factorization in Dimensionality Reduction: A Survey
by: Saberi-Movahed, Farid, et al.
Published: (2024)

TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
by: Rubachev, Ivan, et al.
Published: (2024)

Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings
by: Xu, Kan, et al.
Published: (2021)

Bridging the Gap between Learning and Inference for Diffusion-Based Molecule Generation
by: Liu, Peidong, et al.
Published: (2024)

A Comprehensive Framework for Analyzing the Convergence of Adam: Bridging the Gap with SGD
by: Jin, Ruinan, et al.
Published: (2024)

Towards Understanding Generalization and Stability Gaps between Centralized and Decentralized Federated Learning
by: Sun, Yan, et al.
Published: (2023)

Iterative Causal Segmentation: Filling the Gap between Market Segmentation and Marketing Strategy
by: Ding, Kaihua, et al.
Published: (2024)

Fill the Gap: Quantifying and Reducing the Modality Gap in Image-Text Representation Learning
by: Role, François, et al.
Published: (2025)

ROSE: Reordered SparseGPT for More Accurate One-Shot Large Language Models Pruning
by: Su, Mingluo, et al.
Published: (2026)

PLR: Plackett-Luce for Reordering In-Context Learning Examples
by: Batorski, Pawel, et al.
Published: (2026)

Bridging the Gap Between Bayesian Deep Learning and Ensemble Weather Forecasts
by: Xiong, Xinlei, et al.
Published: (2025)

Deep Learning for Protein Complex Prediction and Design
by: Xie, Ziwei
Published: (2026)

CARE: Large Precision Matrix Estimation for Compositional Data
by: Zhang, Shucong, et al.
Published: (2023)

CLCR: Contrastive Learning-based Constraint Reordering for Efficient MILP Solving
by: Zeng, Shuli, et al.
Published: (2025)

Rethinking the Role of Dynamic Sparse Training for Scalable Deep Reinforcement Learning
by: Ma, Guozheng, et al.
Published: (2025)

SurgeryV2: Bridging the Gap Between Model Merging and Multi-Task Learning with Deep Representation Surgery
by: Yang, Enneng, et al.
Published: (2024)

Implicit Maximum Likelihood Estimation for Real-time Generative Model Predictive Control
by: Lee, Grayson, et al.
Published: (2026)

MITA: Bridging the Gap between Model and Data for Test-time Adaptation
by: Yuan, Yige, et al.
Published: (2024)

Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries
by: Kolb, Chris, et al.
Published: (2025)

Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation
by: Yuan, Shen, et al.
Published: (2024)

Bridging the Reality Gap in Digital Twins with Context-Aware, Physics-Guided Deep Learning
by: Ma, Sizhe, et al.
Published: (2025)

UDQL: Bridging The Gap between MSE Loss and The Optimal Value Function in Offline Reinforcement Learning
by: Zhang, Yu, et al.
Published: (2024)

Fill in the Blanks: Accelerating Q-Learning with a Handful of Demonstrations in Sparse Reward Settings
by: Azad, Seyed Mahdi Basiri, et al.
Published: (2025)

Context-Enhanced Multi-View Trajectory Representation Learning: Bridging the Gap through Self-Supervised Models
by: Qian, Tangwen, et al.
Published: (2024)

ReFill: Reinforcement Learning for Fill-In Minimization
by: Harb, Elfarouk, et al.
Published: (2025)

Sharpness of Minima in Deep Matrix Factorization
by: Kamber, Anil, et al.
Published: (2025)

Majorization-minimization for Sparse Nonnegative Matrix Factorization with the $β$-divergence
by: Marmin, Arthur, et al.
Published: (2022)

SLaB: Sparse-Lowrank-Binary Decomposition for Efficient Large Language Models
by: Li, Ziwei, et al.
Published: (2026)

Doubly Non-Central Beta Matrix Factorization for Stable Dimensionality Reduction of Bounded Support Matrix Data
by: Albert, Anjali N., et al.
Published: (2024)

Time-Varying Propensity Score to Bridge the Gap between the Past and Present
by: Fakoor, Rasool, et al.
Published: (2022)

Implicit Word Reordering with Knowledge Distillation for Cross-Lingual Dependency Parsing
by: Li, Zhuoran, et al.
Published: (2025)

A Faster Path to Continual Learning
by: Li, Wei, et al.
Published: (2026)

Recommendations with Sparse Comparison Data: Provably Fast Convergence for Nonconvex Matrix Factorization
by: Sankagiri, Suryanarayana, et al.
Published: (2025)

Contrastive Deep Nonnegative Matrix Factorization for Community Detection
by: Li, Yuecheng, et al.
Published: (2023)