Saved in:
| Main Authors: | Tong, Kai, Pan, Kang, Zhang, Xiao, Meng, Erli, He, Run, Cui, Yawen, Guo, Nuoyan, Zhuang, Huiping |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.13575 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Analytic Task Scheduler: Recursive Least Squares Based Method for Continual Learning in Embodied Foundation Models
by: Xie, Lipei, et al.
Published: (2025)
by: Xie, Lipei, et al.
Published: (2025)
APFL: Analytic Personalized Federated Learning via Dual-Stream Least Squares
by: Fan, Kejia, et al.
Published: (2025)
by: Fan, Kejia, et al.
Published: (2025)
SIFt-RLS: Subspace of Information Forgetting Recursive Least Squares
by: Lai, Brian, et al.
Published: (2024)
by: Lai, Brian, et al.
Published: (2024)
GACL: Exemplar-Free Generalized Analytic Continual Learning
by: Zhuang, Huiping, et al.
Published: (2024)
by: Zhuang, Huiping, et al.
Published: (2024)
DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning
by: Zhuang, Huiping, et al.
Published: (2024)
by: Zhuang, Huiping, et al.
Published: (2024)
AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models
by: He, Run, et al.
Published: (2024)
by: He, Run, et al.
Published: (2024)
Online Analytic Exemplar-Free Continual Learning with Large Models for Imbalanced Autonomous Driving Task
by: Zhuang, Huiping, et al.
Published: (2024)
by: Zhuang, Huiping, et al.
Published: (2024)
Global Convergence of Iteratively Reweighted Least Squares for Robust Subspace Recovery
by: Lerman, Gilad, et al.
Published: (2025)
by: Lerman, Gilad, et al.
Published: (2025)
REAL: Representation Enhanced Analytic Learning for Exemplar-free Class-incremental Learning
by: He, Run, et al.
Published: (2024)
by: He, Run, et al.
Published: (2024)
F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning
by: Zhuang, Huiping, et al.
Published: (2024)
by: Zhuang, Huiping, et al.
Published: (2024)
Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning
by: He, Run, et al.
Published: (2025)
by: He, Run, et al.
Published: (2025)
Beyond Hard Writes and Rigid Preservation: Soft Recursive Least-Squares for Lifelong LLM Editing
by: Wang, Xinyu, et al.
Published: (2026)
by: Wang, Xinyu, et al.
Published: (2026)
Kernel Recursive Least Squares Dictionary Learning Algorithm
by: Alipoor, Ghasem, et al.
Published: (2025)
by: Alipoor, Ghasem, et al.
Published: (2025)
Online Multi-Task Learning with Recursive Least Squares and Recursive Kernel Methods
by: Lencione, Gabriel R., et al.
Published: (2023)
by: Lencione, Gabriel R., et al.
Published: (2023)
Generalized Forgetting Recursive Least Squares: Stability and Robustness Guarantees
by: Lai, Brian, et al.
Published: (2023)
by: Lai, Brian, et al.
Published: (2023)
Efficient Batch and Recursive Least Squares for Matrix Parameter Estimation
by: Lai, Brian, et al.
Published: (2024)
by: Lai, Brian, et al.
Published: (2024)
Non-Forgetting Knowledge Allocation with Bi-level Competition for Class-Incremental Learning
by: Tan, Xiang, et al.
Published: (2026)
by: Tan, Xiang, et al.
Published: (2026)
Core-Elements for Large-Scale Least Squares Estimation
by: Li, Mengyu, et al.
Published: (2022)
by: Li, Mengyu, et al.
Published: (2022)
Performance Enhancement of the Recursive Least Squares Algorithms with Rank Two Updates
by: Stotsky, Alexander
Published: (2025)
by: Stotsky, Alexander
Published: (2025)
ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental Learning
by: Yang, Yi, et al.
Published: (2024)
by: Yang, Yi, et al.
Published: (2024)
Environment Invariant Linear Least Squares
by: Fan, Jianqing, et al.
Published: (2023)
by: Fan, Jianqing, et al.
Published: (2023)
Differentially Private Recursive Least Squares Estimation for ARX Systems with Multi-Participants
by: Tan, Jianwei, et al.
Published: (2025)
by: Tan, Jianwei, et al.
Published: (2025)
Adaptive Kalman Filtering Developed from Recursive Least Squares Forgetting Algorithms
by: Lai, Brian, et al.
Published: (2024)
by: Lai, Brian, et al.
Published: (2024)
Online Data-Driven Reachability Analysis using Zonotopic Recursive Least Squares
by: Akhormeh, Alireza Naderi, et al.
Published: (2025)
by: Akhormeh, Alireza Naderi, et al.
Published: (2025)
Weighted Least-Squares PARSIM
by: He, Jiabao, et al.
Published: (2024)
by: He, Jiabao, et al.
Published: (2024)
L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning
by: Zhang, Xiang, et al.
Published: (2025)
by: Zhang, Xiang, et al.
Published: (2025)
AIR: Analytic Imbalance Rectifier for Continual Learning
by: Fang, Di, et al.
Published: (2024)
by: Fang, Di, et al.
Published: (2024)
Dual Hierarchical Least-Squares Programming with Equality Constraints
by: Pfeiffer, Kai
Published: (2025)
by: Pfeiffer, Kai
Published: (2025)
AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data
by: Tang, Jianheng, et al.
Published: (2025)
by: Tang, Jianheng, et al.
Published: (2025)
Recursive Least Squares with Fading Regularization for Finite-Time Convergence without Persistent Excitation
by: Lai, Brian, et al.
Published: (2025)
by: Lai, Brian, et al.
Published: (2025)
Asymptotic Efficiency Analysis of the Recursive Least-Squares Algorithm for ARX Systems Without Projection
by: Liu, Xingrui, et al.
Published: (2025)
by: Liu, Xingrui, et al.
Published: (2025)
AnalyticKWS: Towards Exemplar-Free Analytic Class Incremental Learning for Small-footprint Keyword Spotting
by: Xiao, Yang, et al.
Published: (2025)
by: Xiao, Yang, et al.
Published: (2025)
Core-elements Subsampling for Alternating Least Squares
by: Xue, Dunyao, et al.
Published: (2025)
by: Xue, Dunyao, et al.
Published: (2025)
A Recursive Total Least Squares Solution for Bearing-Only Target Motion Analysis and Circumnavigation
by: Li, Lin, et al.
Published: (2025)
by: Li, Lin, et al.
Published: (2025)
ORFit: One-Pass Learning via Bridging Orthogonal Gradient Descent and Recursive Least-Squares
by: Min, Youngjae, et al.
Published: (2022)
by: Min, Youngjae, et al.
Published: (2022)
Convergence of Recursive Least Squares Based Input/Output System Identification with Model Order Mismatch
by: Lai, Brian, et al.
Published: (2024)
by: Lai, Brian, et al.
Published: (2024)
Partitioned Least Squares
by: Esposito, Roberto, et al.
Published: (2020)
by: Esposito, Roberto, et al.
Published: (2020)
Comparative Analysis Between Recursive Least Squares State Space (RLSS) and Nonlinear Least Squares (NLS) Methods for Parameter Identification in Buck Converters Applied to Solar Energy Systems
by: André Luiz Silva Crivellari, et al.
Published: (2025)
by: André Luiz Silva Crivellari, et al.
Published: (2025)
A Modification to Two‐Stage Least Squares With Genetic Applications
by: Lei Fang, et al.
Published: (2025)
by: Lei Fang, et al.
Published: (2025)
Hierarchical Alternating Least Squares Methods for Quaternion Nonnegative Matrix Factorizations
by: Pan, Junjun
Published: (2024)
by: Pan, Junjun
Published: (2024)
Similar Items
-
Analytic Task Scheduler: Recursive Least Squares Based Method for Continual Learning in Embodied Foundation Models
by: Xie, Lipei, et al.
Published: (2025) -
APFL: Analytic Personalized Federated Learning via Dual-Stream Least Squares
by: Fan, Kejia, et al.
Published: (2025) -
SIFt-RLS: Subspace of Information Forgetting Recursive Least Squares
by: Lai, Brian, et al.
Published: (2024) -
GACL: Exemplar-Free Generalized Analytic Continual Learning
by: Zhuang, Huiping, et al.
Published: (2024) -
DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning
by: Zhuang, Huiping, et al.
Published: (2024)