Cover Image

Riemannian Dueling Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ren, Yuxuan, Roy, Abhishek, Ma, Shiqian
Format:	Preprint
Published:	2026
Subjects:	Optimization and Control Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Riemannian ADMM
by: Li, Jiaxiang, et al.
Published: (2022)

ASGO: Adaptive Structured Gradient Optimization
by: An, Kang, et al.
Published: (2025)

Bregman Douglas-Rachford Splitting Method
by: Ma, Shiqian, et al.
Published: (2025)

Feel-Good Thompson Sampling for Contextual Dueling Bandits
by: Li, Xuheng, et al.
Published: (2024)

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

Variance-Aware Regret Bounds for Stochastic Contextual Dueling Bandits
by: Di, Qiwei, et al.
Published: (2023)

Decentralized and Equitable Optimal Transport
by: Lau, Ivan, et al.
Published: (2024)

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

Landing with the Score: Riemannian Optimization through Denoising
by: Kharitenko, Andrey, et al.
Published: (2025)

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

Riemannian Stochastic Gradient Method for Nested Composition Optimization
by: Zhang, Dewei, et al.
Published: (2022)

Fast, Accurate Manifold Denoising by Tunneling Riemannian Optimization
by: Wang, Shiyu, et al.
Published: (2025)

Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data
by: Chen, Xuxing, et al.
Published: (2024)

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

Scalable Second-order Riemannian Optimization for $K$-means Clustering
by: Xu, Peng, et al.
Published: (2025)

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

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

Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking
by: Chen, Jun, et al.
Published: (2025)

A Single-Loop Algorithm for Decentralized Bilevel Optimization
by: Dong, Youran, et al.
Published: (2023)

Demystifying Manifold Constraints in LLM Pre-training
by: An, Kang, et al.
Published: (2026)

AutoBalance: An Automatic Balancing Framework for Training Physics-Informed Neural Networks
by: An, Kang, et al.
Published: (2025)

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

Finite-Time Analysis of Stochastic Nonconvex Nonsmooth Optimization on the Riemannian Manifolds
by: Sahinoglu, Emre, et al.
Published: (2025)

Efficient Optimization with Orthogonality Constraint: a Randomized Riemannian Submanifold Method
by: Han, Andi, et al.
Published: (2025)

Optimal Algorithms for Online Convex Optimization with Adversarial Constraints
by: Sinha, Abhishek, et al.
Published: (2023)

Tight Bounds for Online Convex Optimization with Adversarial Constraints
by: Sinha, Abhishek, et al.
Published: (2024)

Randomized Feasibility Methods for Constrained Optimization with Adaptive Step Sizes
by: Chakraborty, Abhishek, et al.
Published: (2026)

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

A New Inexact Proximal Linear Algorithm with Adaptive Stopping Criteria for Robust Phase Retrieval
by: Zheng, Zhong, et al.
Published: (2023)

Riemannian Zeroth-Order Gradient Estimation with Structure-Preserving Metrics for Geodesically Incomplete Manifolds
by: Ma, Shaocong, et al.
Published: (2026)

Beyond $\tilde{O}(\sqrt{T})$ Constraint Violation for Online Convex Optimization with Adversarial Constraints
by: Sinha, Abhishek, et al.
Published: (2025)

Riemannian Neural Optimal Transport
by: Micheli, Alessandro, et al.
Published: (2026)

Mirror Descent on Riemannian Manifolds
by: Jiang, Jiaxin, et al.
Published: (2026)

Tame Riemannian Stochastic Approximation
by: Aspman, Johannes, et al.
Published: (2023)

S$^3$LDBO: A Snapshot Single-Loop Algorithm for Decentralized Bilevel Optimization
by: Yin, Chao, et al.
Published: (2026)

QCQP-Net: Reliably Learning Feasible Alternating Current Optimal Power Flow Solutions Under Constraints
by: Zeng, Sihan, et al.
Published: (2024)

Decentralized Online Riemannian Optimization Beyond Hadamard Manifolds
by: Sahinoglu, Emre, et al.
Published: (2025)

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

Extragradient Type Methods for Riemannian Variational Inequality Problems
by: Hu, Zihao, et al.
Published: (2023)

Implicit Riemannian Optimism with Applications to Min-Max Problems
by: Roux, Christophe, et al.
Published: (2025)