:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Warke, William D., Ramos, J. Humberto, Ganesh, Prashant, Brink, Kevin M., Hale, Matthew T.
Format:	Preprint
Published:	2024
Subjects:	Optimization and Control
Online Access:	https://arxiv.org/abs/2404.00010
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Riemannian Optimization Framework on the Generalized Quaternionic Stiefel Manifold
by: Sato, Hiroyuki
Published: (2026)

Technical Report: A Totally Asynchronous Nesterov's Accelerated Gradient Method for Convex Optimization
by: Pond, Ellie, et al.
Published: (2024)

Provably Convergent Decentralized Optimization over Directed Graphs under Generalized Smoothness
by: Bo, Yanan, et al.
Published: (2026)

Parallelizable Riemannian Alternating Direction Method of Multipliers for Non-convex Pose Graph Optimization
by: Chen, Xin, et al.
Published: (2026)

Distributed Nonconvex Optimization with Exponential Convergence Rate via Hybrid Systems Methods
by: Hendrickson, Katherine R., et al.
Published: (2025)

Non-convex Pose Graph Optimization in SLAM via Proximal Linearized Riemannian ADMM
by: Chen, Xin, et al.
Published: (2024)

Distributed Dual Quaternion Extended Kalman Filtering for Spacecraft Pose Estimation
by: de Badyn, Mathias Hudoba, et al.
Published: (2024)

Stochastic Compositional Minimax Optimization with Provable Convergence Guarantees
by: Deng, Yuyang, et al.
Published: (2024)

Accuracy Certificates for Convex Optimization at Accelerated Rates via Primal-Dual Averaging
by: Burns, Matthew X., et al.
Published: (2026)

On Relatively Smooth Optimization over Riemannian Manifolds
by: He, Chang, et al.
Published: (2025)

A Provably Convergent Plug-and-Play Framework for Stochastic Bilevel Optimization
by: Chu, Tianshu, et al.
Published: (2025)

Learning Provably Improves the Convergence of Gradient Descent
by: Song, Qingyu, et al.
Published: (2025)

A Convex Optimization Approach to Model-Free Inverse Optimal Control with Provable Convergence
by: Yu, Meiling, et al.
Published: (2025)

On Approximation Algorithms for Commutative Quaternion Polynomial Optimization
by: He, Chang, et al.
Published: (2025)

Guaranteed Feasibility in Differentially Private Linearly Constrained Convex Optimization
by: Benvenuti, Alexander, et al.
Published: (2024)

Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms
by: Li, Yuchen, et al.
Published: (2024)

A Compositional Framework for First-Order Optimization
by: Hanks, Tyler, et al.
Published: (2024)

Improved Convergence Rates of Muon Optimizer for Nonconvex Optimization
by: Nagashima, Shuntaro, et al.
Published: (2026)

Dual Averaging Converges for Nonconvex Smooth Stochastic Optimization
by: Liu, Tuo, et al.
Published: (2025)

Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds
by: Dodd, Daniel, et al.
Published: (2024)

Improved Convergence for Decentralized Stochastic Optimization with Biased Gradients
by: Xu, Qing, et al.
Published: (2026)

Riemannian Optimization over Symmetric Positive Definite Matrices with the Alpha-Procrustes Geometry
by: Zhou, Derun, et al.
Published: (2026)

Matrix Completion with Graph Information: A Provable Nonconvex Optimization Approach
by: Wang, Yao, et al.
Published: (2025)

Global Convergence and Error Propagation in Neural Gradient Flows: A Riemannian Optimization Framework
by: Zheng, Shixin, et al.
Published: (2026)

Riemannian Dueling Optimization
by: Ren, Yuxuan, et al.
Published: (2026)

Onboard Dual Quaternion Guidance for Rocket Landing
by: Kamath, Abhinav G., et al.
Published: (2025)

Riemannian Bilevel Optimization
by: Li, Jiaxiang, et al.
Published: (2024)

Provably Efficient Exploration in Policy Optimization
by: Cai, Qi, et al.
Published: (2019)

Optimizing Planar and 2-Planar Parsers with MaltOptimizer
by: Miguel Ballesteros
Published: (2012)

Riemannian Optimization for Holevo Capacity
by: Zhu, Chengkai, et al.
Published: (2025)

Riemannian Bilevel Optimization
by: Dutta, Sanchayan, et al.
Published: (2024)

Convergence and Trade-Offs in Riemannian Gradient Descent and Riemannian Proximal Point
by: Martínez-Rubio, David, et al.
Published: (2024)

Train Unit Scheduling Optimization Considering Unit Ordering
by: Luo, Yunjian, et al.
Published: (2025)

Provably Convergent Federated Trilevel Learning
by: Jiao, Yang, et al.
Published: (2023)

An Adaptive Algorithm for Bilevel Optimization on Riemannian Manifolds
by: Shi, Xu, et al.
Published: (2025)

Asynchronous Decentralized Optimization with Constraints: Achievable Speeds of Convergence for Directed Graphs
by: Shahriari-Mehr, Firooz, et al.
Published: (2024)

Provably Feasible and Stable White-Box Trajectory Optimization
by: Pan, Zherong, et al.
Published: (2024)

Riemannian Optimization and the Hartree-Fock Method
by: da Silva, Caio O.
Published: (2024)

Dual Acceleration for Minimax Optimization: Linear Convergence Under Relaxed Assumptions
by: Li, Jingwang, et al.
Published: (2025)

First Order Algorithm on an Optimization Problem with Improved Convergence when Problem is Convex
by: Sim, Chee-Khian
Published: (2025)