A Riemannian ADMM
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Jiaxiang, Ma, Shiqian, Srivastava, Tejes |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Riemannian Bilevel Optimization
by: Li, Jiaxiang, et al.
Published: (2024)
by: Li, Jiaxiang, et al.
Published: (2024)
A Dual Riemannian ADMM Algorithm for Low-Rank SDPs with Unit Diagonal
by: Wang, Jie, et al.
Published: (2025)
by: Wang, Jie, et al.
Published: (2025)
A KL-based Analysis Framework with Applications to Non-Descent Optimization Methods
by: Qiu, Junwen, et al.
Published: (2024)
by: Qiu, Junwen, et al.
Published: (2024)
Riemannian Federated Learning via Averaging Gradient Streams
by: Huang, Zhenwei, et al.
Published: (2024)
by: Huang, Zhenwei, et al.
Published: (2024)
Decision-focused predictions via pessimistic bilevel optimization: complexity and algorithms
by: Bucarey, Víctor, et al.
Published: (2023)
by: Bucarey, Víctor, et al.
Published: (2023)
A Bregman ADMM for Bethe variational problem
by: Khoo, Yuehaw, et al.
Published: (2025)
by: Khoo, Yuehaw, et al.
Published: (2025)
A Generalized Version of Chung's Lemma and its Applications
by: Jiang, Li, et al.
Published: (2024)
by: Jiang, Li, et al.
Published: (2024)
A Fully Parameter-Free Second-Order Algorithm for Convex-Concave Minimax Problems
by: Wang, Junlin, et al.
Published: (2024)
by: Wang, Junlin, et al.
Published: (2024)
Fully First-Order Methods for Decentralized Bilevel Optimization
by: Wang, Xiaoyu, et al.
Published: (2024)
by: Wang, Xiaoyu, et al.
Published: (2024)
Faster Accelerated First-order Methods for Convex Optimization with Strongly Convex Function Constraints
by: Lin, Zhenwei, et al.
Published: (2022)
by: Lin, Zhenwei, et al.
Published: (2022)
Global Solutions to Non-Convex Functional Constrained Problems with Hidden Convexity
by: Fatkhullin, Ilyas, et al.
Published: (2025)
by: Fatkhullin, Ilyas, et al.
Published: (2025)
Two trust region type algorithms for solving nonconvex-strongly concave minimax problems
by: Yao, Tongliang, et al.
Published: (2024)
by: Yao, Tongliang, et al.
Published: (2024)
Gradient Norm Regularization Second-Order Algorithms for Solving Nonconvex-Strongly Concave Minimax Problems
by: Wang, Jun-Lin, et al.
Published: (2024)
by: Wang, Jun-Lin, et al.
Published: (2024)
NS-RGS: Newton-Schulz based Riemannian gradient method for orthogonal group synchronization
by: Peng, Haiyang, et al.
Published: (2026)
by: Peng, Haiyang, et al.
Published: (2026)
Local Convergence Analysis of ADMM for Nonconvex Composite Optimization
by: Xie, Xiyuan, et al.
Published: (2026)
by: Xie, Xiyuan, et al.
Published: (2026)
High Probability Guarantees for Random Reshuffling
by: Yu, Hengxu, et al.
Published: (2023)
by: Yu, Hengxu, et al.
Published: (2023)
Alternating minimization for square root principal component pursuit
by: Deng, Shengxiang, et al.
Published: (2024)
by: Deng, Shengxiang, et al.
Published: (2024)
Riemannian Gradient Method with Momentum
by: Leggio, Filippo, et al.
Published: (2026)
by: Leggio, Filippo, et al.
Published: (2026)
Low-rank Orthogonalization for Large-scale Matrix Optimization with Applications to Foundation Model Training
by: He, Chuan, et al.
Published: (2025)
by: He, Chuan, et al.
Published: (2025)
BROS: Bias-Corrected Randomized Subspaces for Memory-Efficient Single-Loop Bilevel Optimization
by: Zhang, Hengrui, et al.
Published: (2026)
by: Zhang, Hengrui, et al.
Published: (2026)
Stochastic interior-point methods for smooth conic optimization with applications
by: He, Chuan, et al.
Published: (2024)
by: He, Chuan, et al.
Published: (2024)
Stochastic First-Order Methods with Non-smooth and Non-Euclidean Proximal Terms for Nonconvex High-Dimensional Stochastic Optimization
by: Xie, Yue, et al.
Published: (2024)
by: Xie, Yue, et al.
Published: (2024)
MoSSP: A Momentum-Based Single-Loop Stochastic Penalty Method for Nonconvex Constrained DC-Regularized Optimization
by: Li, Luxuan, et al.
Published: (2026)
by: Li, Luxuan, et al.
Published: (2026)
A Complete Loss Landscape Analysis of Regularized Deep Matrix Factorization
by: Chen, Po, et al.
Published: (2025)
by: Chen, Po, et al.
Published: (2025)
A Barrier-Metric First-Order Method for Linearly Constrained Bilevel Optimization
by: Hong, Tenglong, et al.
Published: (2026)
by: Hong, Tenglong, et al.
Published: (2026)
Proximal methods for structured nonsmooth optimization over Riemannian submanifolds
by: Li, Qia, et al.
Published: (2024)
by: Li, Qia, et al.
Published: (2024)
Federated Learning on Riemannian Manifolds with Differential Privacy
by: Huang, Zhenwei, et al.
Published: (2024)
by: Huang, Zhenwei, et al.
Published: (2024)
Analysis of Kernel Mirror Prox for Measure Optimization
by: Dvurechensky, Pavel, et al.
Published: (2024)
by: Dvurechensky, Pavel, et al.
Published: (2024)
Second-order Information Promotes Mini-Batch Robustness in Variance-Reduced Gradients
by: Garg, Sachin, et al.
Published: (2024)
by: Garg, Sachin, et al.
Published: (2024)
Proximal Gradient Descent Ascent Methods for Nonsmooth Nonconvex-Concave Minimax Problems on Riemannian Manifolds
by: Xie, Xiyuan, et al.
Published: (2025)
by: Xie, Xiyuan, et al.
Published: (2025)
Global Optimization of Gaussian processes
by: Schweidtmann, Artur M., et al.
Published: (2020)
by: Schweidtmann, Artur M., et al.
Published: (2020)
Memetic Differential Evolution Methods for Semi-Supervised Clustering
by: Mansueto, Pierluigi, et al.
Published: (2024)
by: Mansueto, Pierluigi, et al.
Published: (2024)
Stability and convergence analysis of AdaGrad for non-convex optimization via novel stopping time-based techniques
by: Jin, Ruinan, et al.
Published: (2024)
by: Jin, Ruinan, et al.
Published: (2024)
A Surrogate Value Function Formulation for Bilevel Optimization
by: Xu, Mengwei, et al.
Published: (2025)
by: Xu, Mengwei, et al.
Published: (2025)
A New Kernel Regularity Condition for Distributed Mirror Descent: Broader Coverage and Simpler Analysis
by: Qiu, Junwen, et al.
Published: (2026)
by: Qiu, Junwen, et al.
Published: (2026)
A descent method for nonsmooth multiobjective optimization problems on Riemannian manifolds
by: Tang, Chunming, et al.
Published: (2023)
by: Tang, Chunming, et al.
Published: (2023)
A four-operator splitting algorithm for nonconvex and nonsmooth optimization
by: Alcantara, Jan Harold, et al.
Published: (2024)
by: Alcantara, Jan Harold, et al.
Published: (2024)
A Subspace Minimization Barzilai-Borwein Method for Multiobjective Optimization Problems
by: Chen, Jian, et al.
Published: (2024)
by: Chen, Jian, et al.
Published: (2024)
A Nonmonotone Front Descent Method for Bound-Constrained Multi-Objective Optimization
by: Mansueto, Pierluigi
Published: (2025)
by: Mansueto, Pierluigi
Published: (2025)
A linesearch-based derivative-free method for noisy black-box problems
by: De Santis, Alberto, et al.
Published: (2025)
by: De Santis, Alberto, et al.
Published: (2025)
Similar Items
-
Riemannian Bilevel Optimization
by: Li, Jiaxiang, et al.
Published: (2024) -
A Dual Riemannian ADMM Algorithm for Low-Rank SDPs with Unit Diagonal
by: Wang, Jie, et al.
Published: (2025) -
A KL-based Analysis Framework with Applications to Non-Descent Optimization Methods
by: Qiu, Junwen, et al.
Published: (2024) -
Riemannian Federated Learning via Averaging Gradient Streams
by: Huang, Zhenwei, et al.
Published: (2024) -
Decision-focused predictions via pessimistic bilevel optimization: complexity and algorithms
by: Bucarey, Víctor, et al.
Published: (2023)