Cover Image

Outlier-robust Autocovariance Least Square Estimation via Iteratively Reweighted Least Square

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Jiahong, Deng, Fang
Format:	Preprint
Published:	2026
Subjects:	Optimization and Control Machine Learning Signal Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Global Convergence of Iteratively Reweighted Least Squares for Robust Subspace Recovery
by: Lerman, Gilad, et al.
Published: (2025)

Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares
by: Kümmerle, Christian, et al.
Published: (2023)

Iteratively Reweighted Least Squares for Phase Unwrapping
by: Dubois-Taine, Benjamin, et al.
Published: (2024)

Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning
by: Di, Qiwei, et al.
Published: (2023)

Improved $\ell_{p}$ Regression via Iteratively Reweighted Least Squares
by: Ene, Alina, et al.
Published: (2025)

On Regularization via Early Stopping for Least Squares Regression
by: Sonthalia, Rishi, et al.
Published: (2024)

Kernel Recursive Least Squares Dictionary Learning Algorithm
by: Alipoor, Ghasem, et al.
Published: (2025)

Iterative Pre-Conditioning for Expediting the Gradient-Descent Method: The Distributed Linear Least-Squares Problem
by: Chakrabarti, Kushal, et al.
Published: (2020)

Efficient Batch and Recursive Least Squares for Matrix Parameter Estimation
by: Lai, Brian, et al.
Published: (2024)

Online Nonstochastic Prediction: Logarithmic Regret via Predictive Online Least Squares
by: Pai, Chih-Fan, et al.
Published: (2026)

Adaptive Least Mean Squares Graph Neural Networks and Online Graph Signal Estimation
by: Yan, Yi, et al.
Published: (2024)

Convergence Rates for Gradient Descent on the Edge of Stability in Overparametrised Least Squares
by: MacDonald, Lachlan Ewen, et al.
Published: (2025)

Topological Adaptive Least Mean Squares Algorithms over Simplicial Complexes
by: Marinucci, Lorenzo, et al.
Published: (2025)

Debiasing of Two-Line Element Sets for Batch Least Squares Pseudo-Orbit Determination in MEO and GEO
by: La Casta, Max I. Hallgarten, et al.
Published: (2024)

Generalized Forgetting Recursive Least Squares: Stability and Robustness Guarantees
by: Lai, Brian, et al.
Published: (2023)

SIFt-RLS: Subspace of Information Forgetting Recursive Least Squares
by: Lai, Brian, et al.
Published: (2024)

Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery
by: de Vazelhes, William, et al.
Published: (2023)

Robust Least-Squares Optimization for Data-Driven Predictive Control: A Geometric Approach
by: Bharadwaj, Shreyas, et al.
Published: (2025)

Wasserstein Distributionally Robust Risk-Sensitive Estimation via Conditional Value-at-Risk
by: Taha, Feras Al, et al.
Published: (2026)

Adaptive Kalman Filtering Developed from Recursive Least Squares Forgetting Algorithms
by: Lai, Brian, et al.
Published: (2024)

A Bayesian Approach to Total Least‐Squares in Perturbed Compressive Sensing
by: Junlin Li, et al.
Published: (2025)

Mathematical Optimization-Based Period Estimation with Outliers and Missing Observations
by: Puech, Romain, et al.
Published: (2024)

Computation of Least Trimmed Squares: A Branch-and-Bound framework with Hyperplane Arrangement Enhancements
by: Meng, Xiang, et al.
Published: (2026)

Recursive Least Squares with Fading Regularization for Finite-Time Convergence without Persistent Excitation
by: Lai, Brian, et al.
Published: (2025)

Dictionary Learning under Symmetries via Group Representations
by: Ghosh, Subhroshekhar, et al.
Published: (2023)

Limited Communications Distributed Optimization via Deep Unfolded Distributed ADMM
by: Noah, Yoav, et al.
Published: (2023)

DRL-Based Beam Positioning for LEO Satellite Constellations with Weighted Least Squares
by: Chou, Po-Heng, et al.
Published: (2025)

Hierarchical Least Squares Identification for the Multivariate Input Nonlinear Controlled Autoregressive Moving Average Systems
by: Fang Qiu, et al.
Published: (2025)

A Residual Variance Matching Recursive Least Squares Filter for Real-time UAV Terrain Following
by: Wu, Xiaobo, et al.
Published: (2025)

Optimality Conditions for Sparse Bilinear Least Squares Problems
by: Deng, Zixin, et al.
Published: (2026)

Convergence of Recursive Least Squares Based Input/Output System Identification with Model Order Mismatch
by: Lai, Brian, et al.
Published: (2024)

On the Benefits of Weight Normalization for Overparameterized Matrix Sensing
by: Wei, Yudong, et al.
Published: (2025)

On the Crucial Role of Initialization for Matrix Factorization
by: Li, Bingcong, et al.
Published: (2024)

Robust Automatic Differentiation of Square-Root Kalman Filters via Gramian Differentials
by: Corenflos, Adrien
Published: (2026)

Nonnegative Matrix Factorization in the Component-Wise L1 Norm for Sparse Data
by: Seraghiti, Giovanni, et al.
Published: (2026)

Efficient algorithms for the Hadamard decomposition
by: Wertz, Samuel, et al.
Published: (2025)

Nonasymptotic Convergence Rates for Plug-and-Play Methods With MMSE Denoisers
by: Pritchard, Henry, et al.
Published: (2025)

The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing
by: Xu, Xingyu, et al.
Published: (2023)

Alternating Direction Method of Multipliers for Nonlinear Matrix Decompositions
by: Awari, Atharva, et al.
Published: (2025)

Robust Low-rank Tensor Train Recovery
by: Qin, Zhen, et al.
Published: (2024)