:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhou, Derun, Yano, Keisuke, Sugiyama, Mahito
Format:	Preprint
Published:	2026
Subjects:	Optimization and Control
Online Access:	https://arxiv.org/abs/2605.00396
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Dual Riemannian Newton Method on Statistical Manifolds
by: Zhou, Derun, et al.
Published: (2025)

Symmetrizing Bregman Divergence on the Cone of Positive Definite Matrices: Which Mean to Use and Why
by: Sial, Tushar, et al.
Published: (2026)

Trajectory-Restricted Optimization Conditions and Geometry-Aware Linear Convergence
by: Chaudhry, Faris, et al.
Published: (2026)

Polynomial and Parallelizable Preconditioning for Block Tridiagonal Positive Definite Matrices
by: Yang, Shaohui, et al.
Published: (2025)

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

Procrustes Problems on Random Matrices
by: Jasa, Hajg, et al.
Published: (2025)

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

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

Positive Definiteness and Stability of Interval Tensors
by: Ye, Li, et al.
Published: (2025)

Minimum-norm solutions of the non-symmetric semidefinite Procrustes problem
by: Gillis, Nicolas, et al.
Published: (2024)

Feature Starvation as Geometric Instability in Sparse Autoencoders
by: Chaudhry, Faris, et al.
Published: (2026)

Riemannian Optimization for Non-convex Euclidean Distance Geometry with Global Recovery Guarantees
by: Smith, Chandler, et al.
Published: (2024)

Position: Optimization in SciML Should Employ the Function Space Geometry
by: Müller, Johannes, et al.
Published: (2024)

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

Generalized Orthogonal Procrustes Problem under Arbitrary Adversaries
by: Ling, Shuyang
Published: (2021)

Procrustes problem for the inverse eigenvalue problem of normal (skew) $J$-Hamiltonian matrices and normal $J$-symplectic matrices
by: Gigola, S., et al.
Published: (2024)

Technical Report: Pose Graph Optimization over Planar Unit Dual Quaternions: Improved Accuracy with Provably Convergent Riemannian Optimization
by: Warke, William D., et al.
Published: (2024)

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

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

Quadratic Truncated Random Return in Distributional LQR: Positive Definiteness, Density, and Log-Concavity
by: Teng, Ruyi, et al.
Published: (2025)

A Sudakov Decomposition in Riemannian Manifolds with Positive Curvature
by: Huang, Zhengyao
Published: (2026)

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

Trajectory Optimization by Successive Pseudospectral Convexification on Riemannian Manifolds
by: Narumi, Tatsuya, et al.
Published: (2025)

From Schrodinger Bridge to Optimal Transport over Sub-Riemannian Manifolds
by: Adu, Daniel Owusu, et al.
Published: (2026)

Multiconic Optimization for Symmetric Cones and Hyperbolic Coupling
by: -Nagy, Marianna E., et al.
Published: (2026)

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

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

Polyhedral Analysis of Quadratic Optimization Problems with Stieltjes Matrices and Indicators
by: Liu, Peijing, et al.
Published: (2024)

Riemannian Momentum Tracking: Distributed Optimization with Momentum on Compact Submanifolds
by: Chen, Jun, et al.
Published: (2026)

An Invitation to Higher-Order Riemannian Optimization: Optimal and Implementable Methods
by: Gutman, David Huckleberry, et al.
Published: (2026)

An Inexact Proximal Framework for Nonsmooth Riemannian Difference-of-Convex Optimization
by: Jiang, Bo, et al.
Published: (2025)

A Single-loop Stochastic Riemannian ADMM for Nonsmooth Optimization
by: Jin, Jiachen, et al.
Published: (2025)

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

Riemannian EXTRA: Communication-efficient decentralized optimization over compact submanifolds with data heterogeneity
by: Wu, Jiayuan, et al.
Published: (2025)

A Proximal Gradient Framework for Composite Multiobjective Optimization on Riemannian Manifolds
by: Chen, Kangming
Published: (2026)

Intrinsic Decentralized Stochastic Riemannian Optimization on Manifolds with Bounded Sectional Curvature
by: Nguyen, Duc Toan, et al.
Published: (2026)

Adaptive Single-Loop Methods for Stochastic Minimax Optimization on Riemannian Manifolds
by: Wang, Hongye, et al.
Published: (2026)

Loopless Proximal Riemannian Gradient EXTRA for Distributed Optimization on Compact Manifolds
by: Xiong, Yongyang, et al.
Published: (2026)

Adaptive Riemannian ADMM for Nonsmooth Optimization: Optimal Complexity without Smoothing
by: Deng, Kangkang, et al.
Published: (2025)

Gradient Flows and Riemannian Structure in the Gromov-Wasserstein Geometry
by: Zhang, Zhengxin, et al.
Published: (2024)