Optimality Conditions for Sparse Bilinear Least Squares Problems
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Deng, Zixin, Huang, Zheng-Hai, Zhao, Yun-Bin |
|---|---|
| Format: | Preprint |
| Publié: |
2026
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
An SDP Relaxation for the Sparse Integer Least Squares Problem
par: Del Pia, Alberto, et autres
Publié: (2022)
par: Del Pia, Alberto, et autres
Publié: (2022)
Iterative Pre-Conditioning for Expediting the Gradient-Descent Method: The Distributed Linear Least-Squares Problem
par: Chakrabarti, Kushal, et autres
Publié: (2020)
par: Chakrabarti, Kushal, et autres
Publié: (2020)
Outlier-robust Autocovariance Least Square Estimation via Iteratively Reweighted Least Square
par: Li, Jiahong, et autres
Publié: (2026)
par: Li, Jiahong, et autres
Publié: (2026)
Incorporating Fixed-Pole Information in the Data-Driven Least Squares Realization Problem
par: Vermeersch, Christof, et autres
Publié: (2025)
par: Vermeersch, Christof, et autres
Publié: (2025)
Least-Squares Problem Over Probability Measure Space
par: Li, Qin, et autres
Publié: (2025)
par: Li, Qin, et autres
Publié: (2025)
Iteratively Reweighted Least Squares for Phase Unwrapping
par: Dubois-Taine, Benjamin, et autres
Publié: (2024)
par: Dubois-Taine, Benjamin, et autres
Publié: (2024)
Second-Order Necessary Optimality Conditions for Multi-Objective Optimal Control Problems on Riemannian Manifolds
par: Deng, Li
Publié: (2025)
par: Deng, Li
Publié: (2025)
Distributed Least-Squares Optimization Solvers with Differential Privacy
par: Liu, Weijia, et autres
Publié: (2024)
par: Liu, Weijia, et autres
Publié: (2024)
Decoupling Collision Avoidance in and for Optimal Control using Least-Squares Support Vector Machines
par: Dirckx, Dries, et autres
Publié: (2025)
par: Dirckx, Dries, et autres
Publié: (2025)
Dual Hierarchical Least-Squares Programming with Equality Constraints
par: Pfeiffer, Kai
Publié: (2025)
par: Pfeiffer, Kai
Publié: (2025)
Asymptotic Efficiency Analysis of the Recursive Least-Squares Algorithm for ARX Systems Without Projection
par: Liu, Xingrui, et autres
Publié: (2025)
par: Liu, Xingrui, et autres
Publié: (2025)
Online Nonstochastic Prediction: Logarithmic Regret via Predictive Online Least Squares
par: Pai, Chih-Fan, et autres
Publié: (2026)
par: Pai, Chih-Fan, et autres
Publié: (2026)
Block Acceleration Without Momentum: On Optimal Stepsizes of Block Gradient Descent for Least-Squares
par: Peng, Liangzu, et autres
Publié: (2024)
par: Peng, Liangzu, et autres
Publié: (2024)
A Unified Recursive Identification Algorithm with Quantized Observations Based on Weighted Least-Squares Type Criteria
par: Liu, Xingrui, et autres
Publié: (2025)
par: Liu, Xingrui, et autres
Publié: (2025)
Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning
par: Di, Qiwei, et autres
Publié: (2023)
par: Di, Qiwei, et autres
Publié: (2023)
Solving Minimax Problems with Bilinear Objectives with ADMM
par: Wilson, Bob
Publié: (2026)
par: Wilson, Bob
Publié: (2026)
Least-Squares Multi-Step Koopman Operator Learning for Model Predictive Control
par: Wu, Liang, et autres
Publié: (2026)
par: Wu, Liang, et autres
Publié: (2026)
Least Squares Model Reduction: A Two-Stage System-Theoretic Interpretation
par: Padoan, Alberto
Publié: (2025)
par: Padoan, Alberto
Publié: (2025)
Parallel Inexact Levenberg-Marquardt Method for Nearly-Separable Nonlinear Least Squares
par: Fodor, Lidija, et autres
Publié: (2023)
par: Fodor, Lidija, et autres
Publié: (2023)
Resilient Infrastructure Network: Sparse Edge Change Identification via L1-Regularized Least Squares
par: Anguluri, Rajasekhar
Publié: (2024)
par: Anguluri, Rajasekhar
Publié: (2024)
Accelerated Proximal Dogleg Majorization for Sparse Regularized Quadratic Optimization Problem
par: Zhao, Feifei, et autres
Publié: (2025)
par: Zhao, Feifei, et autres
Publié: (2025)
Integral Global Optimality Conditions and an Algorithm for Multiobjective Problems
par: Silva, Everton J., et autres
Publié: (2022)
par: Silva, Everton J., et autres
Publié: (2022)
Direct Spectral Acceleration of First-Order Methods for Saddle Point Problems with Bilinear Coupling
par: Li, Meng, et autres
Publié: (2026)
par: Li, Meng, et autres
Publié: (2026)
Integral Inequalities for the Analysis of Distributed Parameter Systems: A complete characterization via the Least-Squares Principle
par: Feng, Qian, et autres
Publié: (2023)
par: Feng, Qian, et autres
Publié: (2023)
Aggregation of Bilinear Bipartite Equality Constraints and its Application to Structural Model Updating Problem
par: Dey, Santanu S, et autres
Publié: (2024)
par: Dey, Santanu S, et autres
Publié: (2024)
Primal-dual Accelerated Mirror-Descent Method for Constrained Bilinear Saddle-Point Problems
par: Li, Weijian, et autres
Publié: (2024)
par: Li, Weijian, et autres
Publié: (2024)
Convergence Rates for Gradient Descent on the Edge of Stability in Overparametrised Least Squares
par: MacDonald, Lachlan Ewen, et autres
Publié: (2025)
par: MacDonald, Lachlan Ewen, et autres
Publié: (2025)
Global Convergence of Iteratively Reweighted Least Squares for Robust Subspace Recovery
par: Lerman, Gilad, et autres
Publié: (2025)
par: Lerman, Gilad, et autres
Publié: (2025)
Robust Least Squares Problems with Binary Uncertain Data
par: Zhou, Yang, et autres
Publié: (2025)
par: Zhou, Yang, et autres
Publié: (2025)
Inverse Gram Matrix Methods for Prioritization in Analytic Hierarchy Process: Explainability of Weighted Least Squares Optimization Method
par: Yuen, Kevin Kam Fung
Publié: (2024)
par: Yuen, Kevin Kam Fung
Publié: (2024)
An LP-Based Approach for Bilinear Saddle Point Problem with Instance-dependent Guarantee and Noisy Feedback
par: Jiang, Jiashuo, et autres
Publié: (2026)
par: Jiang, Jiashuo, et autres
Publié: (2026)
Black-box Optimization Algorithms for Regularized Least-squares Problems
par: Liu, Yanjun, et autres
Publié: (2024)
par: Liu, Yanjun, et autres
Publié: (2024)
Multi-Tubal Rank of Third Order Tensor and Related Low Rank Tensor Completion Problem
par: Yu, Quan, et autres
Publié: (2020)
par: Yu, Quan, et autres
Publié: (2020)
A Weighted Least Squares Error Hetero-functional Graph State Estimator of the American Multi-modal Energy System
par: Thompson, Dakota, et autres
Publié: (2025)
par: Thompson, Dakota, et autres
Publié: (2025)
Sparse Recovery: The Square of $\ell_1/\ell_2$ Norms
par: Jia, Jianqing, et autres
Publié: (2024)
par: Jia, Jianqing, et autres
Publié: (2024)
Semismooth Newton Augmented Lagrangian Algorithm for Adaptive Lasso Penalized Least Squares in Semiparametric Regression
par: Li, Peili, et autres
Publié: (2021)
par: Li, Peili, et autres
Publié: (2021)
Sum-of-Squares Hierarchy for the Gromov Wasserstein Problem
par: Tran, Hoang Anh, et autres
Publié: (2025)
par: Tran, Hoang Anh, et autres
Publié: (2025)
On Regularization via Early Stopping for Least Squares Regression
par: Sonthalia, Rishi, et autres
Publié: (2024)
par: Sonthalia, Rishi, et autres
Publié: (2024)
Necessary Optimality Conditions for Integrated Learning and Optimization Problem in Contextual Optimization
par: Tao, Yuan, et autres
Publié: (2026)
par: Tao, Yuan, et autres
Publié: (2026)
Seierstad Sufficient Conditions for Stochastic Optimal Control Problems with Infinite Horizon
par: Belyakov, Anton O., et autres
Publié: (2025)
par: Belyakov, Anton O., et autres
Publié: (2025)
Documents similaires
-
An SDP Relaxation for the Sparse Integer Least Squares Problem
par: Del Pia, Alberto, et autres
Publié: (2022) -
Iterative Pre-Conditioning for Expediting the Gradient-Descent Method: The Distributed Linear Least-Squares Problem
par: Chakrabarti, Kushal, et autres
Publié: (2020) -
Outlier-robust Autocovariance Least Square Estimation via Iteratively Reweighted Least Square
par: Li, Jiahong, et autres
Publié: (2026) -
Incorporating Fixed-Pole Information in the Data-Driven Least Squares Realization Problem
par: Vermeersch, Christof, et autres
Publié: (2025) -
Least-Squares Problem Over Probability Measure Space
par: Li, Qin, et autres
Publié: (2025)