Copertina

High Rank Matrix Completion via Grassmannian Proxy Fusion

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Huanran, Johnson, Jeremy, Pimentel-Alarcón, Daniel
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Deep Fusion: Capturing Dependencies in Contrastive Learning via Transformer Projection Heads
di: Li, Huanran, et al.
Pubblicazione: (2024)

Preventing Collapse in Contrastive Learning with Orthonormal Prototypes (CLOP)
di: Li, Huanran, et al.
Pubblicazione: (2024)

FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion
di: Fan, Tao, et al.
Pubblicazione: (2026)

Subspace Clustering on Incomplete Data with Self-Supervised Contrastive Learning
di: Li, Huanran, et al.
Pubblicazione: (2026)

Semi-Supervised Contrastive Learning with Orthonormal Prototypes
di: Li, Huanran, et al.
Pubblicazione: (2025)

ProxyKV: Cross-Model Proxy Pruning for Efficient Long-Context LLM Inference
di: Li, Junjie, et al.
Pubblicazione: (2026)

Alignment Dynamics in LLM Fine-Tuning
di: Huang, Yuhan, et al.
Pubblicazione: (2026)

AROMA: Autonomous Rank-one Matrix Adaptation
di: Sheng, Hao Nan, et al.
Pubblicazione: (2025)

OptiProxy-NAS: Optimization Proxy based End-to-End Neural Architecture Search
di: Lyu, Bo, et al.
Pubblicazione: (2025)

Matrix Low-Rank Approximation For Policy Gradient Methods
di: Rozada, Sergio, et al.
Pubblicazione: (2024)

Matrix Low-Rank Trust Region Policy Optimization
di: Rozada, Sergio, et al.
Pubblicazione: (2024)

Truncated Matrix Completion - An Empirical Study
di: Naik, Rishhabh, et al.
Pubblicazione: (2025)

Code Simulation as a Proxy for High-order Tasks in Large Language Models
di: La Malfa, Emanuele, et al.
Pubblicazione: (2025)

Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning
di: Rozada, Sergio, et al.
Pubblicazione: (2022)

Towards Mitigating Excessive Forgetting in LLM Unlearning via Entanglement-Guidance with Proxy Constraint
di: Liu, Zhihao, et al.
Pubblicazione: (2025)

HLS-Seek: QoR-Aware Code Generation for High-Level Synthesis via Proxy Comparative Reward Reinforcement Learning
di: Zou, Qingyun, et al.
Pubblicazione: (2026)

Polynomial Precision Dependence Solutions to Alignment Research Center Matrix Completion Problems
di: Angell, Rico
Pubblicazione: (2024)

TLoRA: Tri-Matrix Low-Rank Adaptation of Large Language Models
di: Islam, Tanvir
Pubblicazione: (2025)

Revitalizing Black-Box Interpretability: Actionable Interpretability for LLMs via Proxy Models
di: Liu, Junhao, et al.
Pubblicazione: (2025)

When Can Proxies Improve the Sample Complexity of Preference Learning?
di: Zhu, Yuchen, et al.
Pubblicazione: (2024)

Polynomial Expansion Rank Adaptation: Enhancing Low-Rank Fine-Tuning with High-Order Interactions
di: Zhang, Wenhao, et al.
Pubblicazione: (2026)

Sparse High Rank Adapters
di: Bhardwaj, Kartikeya, et al.
Pubblicazione: (2024)

Proxy-RLHF: Decoupling Generation and Alignment in Large Language Model with Proxy
di: Zhu, Yu, et al.
Pubblicazione: (2024)

Unifying Ranking and Generation in Query Auto-Completion via Retrieval-Augmented Generation and Multi-Objective Alignment
di: Yuan, Kai, et al.
Pubblicazione: (2026)

Proxy-Based Approximation of Shapley and Banzhaf Interactions
di: Thies, Santo M. A. R., et al.
Pubblicazione: (2026)

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training
di: Chen, Ruishuo, et al.
Pubblicazione: (2025)

Feature Alignment: Rethinking Efficient Active Learning via Proxy in the Context of Pre-trained Models
di: Wen, Ziting, et al.
Pubblicazione: (2024)

Mitigating Overthinking in Large Reasoning Models via Manifold Steering
di: Huang, Yao, et al.
Pubblicazione: (2025)

Low-Rank Compression of Language Models via Differentiable Rank Selection
di: Sundrani, Sidhant, et al.
Pubblicazione: (2025)

Predicting LLM Reasoning Performance with Small Proxy Model
di: Koh, Woosung, et al.
Pubblicazione: (2025)

ProxiMix: Enhancing Fairness with Proximity Samples in Subgroups
di: Hu, Jingyu, et al.
Pubblicazione: (2024)

LoSiA: Efficient High-Rank Fine-Tuning via Subnet Localization and Optimization
di: Wang, Xujia, et al.
Pubblicazione: (2025)

Revisiting Dynamic Graph Clustering via Matrix Factorization
di: Li, Dongyuan, et al.
Pubblicazione: (2025)

HyperAdapt: Simple High-Rank Adaptation
di: Gurung, Abel, et al.
Pubblicazione: (2025)

Hallucination Detection via Activations of Open-Weight Proxy Analyzers
di: Singh, Akshita, et al.
Pubblicazione: (2026)

AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning
di: Zhang, Ruiyi, et al.
Pubblicazione: (2024)

Transferring Causal Effects using Proxies
di: Iglesias-Alonso, Manuel, et al.
Pubblicazione: (2025)

Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization
di: Xu, Ziqing, et al.
Pubblicazione: (2025)

Separable Expert Architecture: Toward Privacy-Preserving LLM Personalization via Composable Adapters and Deletable User Proxies
di: Schneider, Chris, et al.
Pubblicazione: (2026)

Constraint-Informed Active Learning for End-to-End ACOPF Optimization Proxies
di: Li, Miao, et al.
Pubblicazione: (2025)