:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Bharadwaj, Shreyas, Mishra, Bamdev, Mostajeran, Cyrus, Padoan, Alberto, Coulson, Jeremy, Banavar, Ravi N.
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control Machine Learning
Online Access:	https://arxiv.org/abs/2511.09242
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Min-Max Grassmannian Optimization for Online Subspace Tracking
by: Bharadwaj, Shreyas, et al.
Published: (2026)

Geometrically robust least squares through manifold optimization
by: Coulson, Jeremy, et al.
Published: (2025)

Distances between finite-horizon linear behaviors
by: Padoan, Alberto, et al.
Published: (2025)

Least Squares Model Reduction: A Two-Stage System-Theoretic Interpretation
by: Padoan, Alberto
Published: (2025)

From time series to dissipativity of linear systems with dynamic supply rates
by: van Waarde, Henk J., et al.
Published: (2026)

A quantitative and constructive proof of Willems' Fundamental Lemma and its implications
by: Berberich, Julian, et al.
Published: (2022)

Informativity for Data-driven Prediction
by: Stevens, Joel, et al.
Published: (2026)

A Gauss-Newton Approach for Min-Max Optimization in Generative Adversarial Networks
by: Mishra, Neel, et al.
Published: (2024)

DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization
by: Cummins, Michael, et al.
Published: (2024)

Riemannian Optimization for Hadamard Products of Low-Rank Matrices
by: Jawanpuria, Pratik, et al.
Published: (2026)

Scaled Relative Graphs in Normed Spaces
by: Padoan, Alberto
Published: (2026)

A Framework for Bilevel Optimization on Riemannian Manifolds
by: Han, Andi, et al.
Published: (2024)

Least-Squares Multi-Step Koopman Operator Learning for Model Predictive Control
by: Wu, Liang, et al.
Published: (2026)

Incorporating Fixed-Pole Information in the Data-Driven Least Squares Realization Problem
by: Vermeersch, Christof, et al.
Published: (2025)

Distributed Least-Squares Optimization Solvers with Differential Privacy
by: Liu, Weijia, et al.
Published: (2024)

Riemannian coordinate descent algorithms on matrix manifolds
by: Han, Andi, et al.
Published: (2024)

Discrete time optimal control with frequency constraints for non-smooth systems
by: Kotpalliwar, Shruti, et al.
Published: (2019)

Online Subspace Learning on Flag Manifolds for System Identification
by: Jin, Dian, et al.
Published: (2025)

An SDP Relaxation for the Sparse Integer Least Squares Problem
by: Del Pia, Alberto, et al.
Published: (2022)

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

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

Tube-Based Robust Data-Driven Predictive Control
by: Wang, Chi, et al.
Published: (2026)

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

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

Dual Hierarchical Least-Squares Programming with Equality Constraints
by: Pfeiffer, Kai
Published: (2025)

Generalized infinite dimensional Alpha-Procrustes based geometries
by: Goomanee, Salvish, et al.
Published: (2025)

Robust Least Squares Problems with Binary Uncertain Data
by: Zhou, Yang, et al.
Published: (2025)

Outlier-robust Autocovariance Least Square Estimation via Iteratively Reweighted Least Square
by: Li, Jiahong, et al.
Published: (2026)

Closed Form HJB Solution for Continuous-Time Optimal Control of a Non-Linear Input-Affine System
by: Vyas, Akash, et al.
Published: (2025)

GREAT: Grassmannian REcursive Algorithm for Tracking & Online System Identification
by: Sasfi, András, et al.
Published: (2024)

Gaussian behaviors: representations and data-driven control
by: Sasfi, András, et al.
Published: (2025)

Decoupling Collision Avoidance in and for Optimal Control using Least-Squares Support Vector Machines
by: Dirckx, Dries, et al.
Published: (2025)

Inverse Gram Matrix Methods for Prioritization in Analytic Hierarchy Process: Explainability of Weighted Least Squares Optimization Method
by: Yuen, Kevin Kam Fung
Published: (2024)

Mixed Small Gain and Phase Theorem: A new view using Scale Relative Graphs
by: Baron-Prada, Eder, et al.
Published: (2025)

Robust Data-Driven Quasiconcave Optimization
by: Wu, Jian, et al.
Published: (2025)

Data-Driven Adjustable Robust Optimization
by: Ren, Xiaoxing, et al.
Published: (2025)

Stability, Contraction, and Controllers for Affine Systems
by: Wieringa, L. P., et al.
Published: (2026)

Nyström Approximation on Manifolds
by: Nie, Hantao, et al.
Published: (2026)

Parallel Inexact Levenberg-Marquardt Method for Nearly-Separable Nonlinear Least Squares
by: Fodor, Lidija, et al.
Published: (2023)

Data-Driven Predictive Control Using Closed-Loop Data: An Instrumental Variable Approach
by: Wang, Yibo, et al.
Published: (2023)