Cover Image

A Framework for Bilevel Optimization on Riemannian Manifolds

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Han, Andi, Mishra, Bamdev, Jawanpuria, Pratik, Takeda, Akiko
Format:	Preprint
Published:	2024
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

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

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

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

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

Federated Learning on Riemannian Manifolds with Differential Privacy
by: Huang, Zhenwei, et al.
Published: (2024)

Riemannian Federated Learning via Averaging Gradient Streams
by: Huang, Zhenwei, et al.
Published: (2024)

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

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

Intrinsic Muon: Spectral Optimization on Riemannian Matrix Manifolds
by: Li, Yibang, et al.
Published: (2026)

FedSEA: Achieving Benefit of Parallelization in Federated Online Learning
by: Sahu, Harekrushna, et al.
Published: (2026)

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

MMD-Regularized Unbalanced Optimal Transport
by: Manupriya, Piyushi, et al.
Published: (2020)

SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining
by: Han, Andi, et al.
Published: (2024)

A Riemannian Approach to Ground Metric Learning for Optimal Transport
by: Jawanpuria, Pratik, et al.
Published: (2024)

Robust Least-Squares Optimization for Data-Driven Predictive Control: A Geometric Approach
by: Bharadwaj, Shreyas, et al.
Published: (2025)

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

A Bilevel Optimization Framework for Imbalanced Data Classification
by: Medlin, Karen, et al.
Published: (2024)

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

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

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

Fairness-informed Pareto Optimization : An Efficient Bilevel Framework
by: Tanji, Sofiane, et al.
Published: (2026)

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

A First-order Generative Bilevel Optimization Framework for Diffusion Models
by: Xiao, Quan, et al.
Published: (2025)

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

Bayesian Optimization of Bilevel Problems
by: Ekmekcioglu, Omer, et al.
Published: (2024)

On Stability in Optimistic Bilevel Optimization
by: Royset, Johannes O.
Published: (2024)

Convergence Error Analysis of Reflected Gradient Langevin Dynamics for Globally Optimizing Non-Convex Constrained Problems
by: Sato, Kanji, et al.
Published: (2022)

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

SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization
by: Zhu, Shuchen, et al.
Published: (2024)

Modified K-means Algorithm with Local Optimality Guarantees
by: Li, Mingyi, et al.
Published: (2025)

Safe Gradient Flow for Bilevel Optimization
by: Sharifi, Sina, et al.
Published: (2025)

Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold
by: Chen, Jun, et al.
Published: (2023)

Online Nonconvex Bilevel Optimization with Bregman Divergences
by: Bohne, Jason, et al.
Published: (2024)

Problem-Parameter-Free Decentralized Bilevel Optimization
by: Zhai, Zhiwei, et al.
Published: (2025)

Effective Bilevel Optimization via Minimax Reformulation
by: Wang, Xiaoyu, et al.
Published: (2023)

Sequential QCQP for Bilevel Optimization with Line Search
by: Sharifi, Sina, et al.
Published: (2025)

Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach
by: Wang, Hongye, et al.
Published: (2025)

Unlocking Global Optimality in Bilevel Optimization: A Pilot Study
by: Xiao, Quan, et al.
Published: (2024)

On the Complexity of First-Order Methods in Stochastic Bilevel Optimization
by: Kwon, Jeongyeol, et al.
Published: (2024)

First-Order Methods for Linearly Constrained Bilevel Optimization
by: Kornowski, Guy, et al.
Published: (2024)