Cover Image

Learning Fill-in Reduction Ordering via Graph Policy Optimization for Sparse Matrices

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Ziwei, Niu, Shuzi, Li, Huiyuan, Yuan, Tao, Wu, Wenjia
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
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)

Bridging the Gap between Sparse Matrix Reordering and Factorization: A Deep Learning Framework for Fill-in Reduction
by: Li, Ziwei, et al.
Published: (2026)

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

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

Constrained Policy Optimization with Explicit Behavior Density for Offline Reinforcement Learning
by: Zhang, Jing, et al.
Published: (2023)

Trajectory-Oriented Policy Optimization with Sparse Rewards
by: Wang, Guojian, et al.
Published: (2024)

Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages
by: Dinh, My H., et al.
Published: (2024)

GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation
by: Guo, Zihao, et al.
Published: (2025)

GAIM: Attacking Graph Neural Networks via Adversarial Influence Maximization
by: Yang, Xiaodong, et al.
Published: (2024)

MARS-M: When Variance Reduction Meets Matrices
by: Liu, Yifeng, et al.
Published: (2025)

Fast Inference with Kronecker-Sparse Matrices
by: Gonon, Antoine, et al.
Published: (2024)

Energy and Memory-Efficient Federated Learning With Ordered Layer Freezing
by: Niu, Ziru, et al.
Published: (2025)

Learning Robust Heterogeneous Graph Representations via Contrastive-Reconstruction under Sparse Semantics
by: Lin, Di, et al.
Published: (2025)

Fat-to-Thin Policy Optimization: Offline RL with Sparse Policies
by: Zhu, Lingwei, et al.
Published: (2025)

Approximate Multiplication of Sparse Matrices with Limited Space
by: Wan, Yuanyu, et al.
Published: (2020)

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)

Data Skeleton Learning: Scalable Active Clustering with Sparse Graph Structures
by: Xie, Wen-Bo, et al.
Published: (2025)

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

Reliable and Compact Graph Fine-tuning via GraphSparse Prompting
by: Jiang, Bo, et al.
Published: (2024)

Learning Functional Graphs with Nonlinear Sufficient Dimension Reduction
by: Kim, Kyongwon, et al.
Published: (2026)

Accelerating Sparse Graph Neural Networks with Tensor Core Optimization
by: Wu, Ka Wai
Published: (2024)

CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph
by: Lin, Haitao, et al.
Published: (2024)

Enhancing Reasoning for Diffusion LLMs via Distribution Matching Policy Optimization
by: Zhu, Yuchen, et al.
Published: (2025)

Semi-Supervised Multi-Label Feature Selection with Consistent Sparse Graph Learning
by: Zhong, Yan, et al.
Published: (2025)

Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning
by: Wang, Yixiao, et al.
Published: (2024)

Adapprox: Adaptive Approximation in Adam Optimization via Randomized Low-Rank Matrices
by: Zhao, Pengxiang, et al.
Published: (2024)

Graph-RHO: Critical-path-aware Heterogeneous Graph Network for Long-Horizon Flexible Job-Shop Scheduling
by: Li, Yujie, et al.
Published: (2026)

Online Continual Learning via Logit Adjusted Softmax
by: Huang, Zhehao, et al.
Published: (2023)

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

Row-Stochastic Matrices Can Provably Outperform Doubly Stochastic Matrices in Decentralized Learning
by: Liu, Bing, et al.
Published: (2025)

Ordered Local Momentum for Asynchronous Distributed Learning under Arbitrary Delays
by: Shi, Chang-Wei, et al.
Published: (2026)

Mitigating the Safety Alignment Tax with Null-Space Constrained Policy Optimization
by: Niu, Yifan, et al.
Published: (2025)

Learning Directed Acyclic Graphs from Partial Orderings
by: Shojaie, Ali, et al.
Published: (2024)

Variance Reduction Based Experience Replay for Policy Optimization
by: Zheng, Hua, et al.
Published: (2026)

Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions
by: Wang, Xin, et al.
Published: (2022)

Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization
by: Liu, Zongkai, et al.
Published: (2024)

Learning an Efficient Optimizer via Hybrid-Policy Sub-Trajectory Balance
by: Guan, Yunchuan, et al.
Published: (2025)

Neural Tractability via Structure: Learning-Augmented Algorithms for Graph Combinatorial Optimization
by: Li, Jialiang, et al.
Published: (2025)

GJDNet: Robust Graph Neural Networks via Joint Disentangled Learning Against Adversarial Attacks
by: Cui, Canyixing, et al.
Published: (2026)

Sparse Graph Learning from Sparse Data via Fiedler Number Maximization
by: Oveisgharan, Bahar, et al.
Published: (2026)