manifold optimization

Riemannian Geometric-based Meta Learning AAAI 2025 SPDIM: Source-Free Unsupervised Conditional and Label Shift Adaptation in EEG ICLR 2025 Accelerating Nuclear-norm Regularized Low-rank Matrix Optimization Through Burer-Monteiro Decomposition JMLR 2024 A projected semismooth Newton method for a class of nonconvex composite programs with strong prox-regularity JMLR 2024 Fun with Flags: Robust Principal Directions via Flag Manifolds CVPR 2024 Geodesic Optimization for Predictive Shift Adaptation on EEG data NeurIPS 2024 iMESA: Incremental Distributed Optimization for Collaborative Simultaneous Localization and Mapping RSS 2024 Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data NeurIPS 2024 Regularized Adaptive Momentum Dual Averaging with an Efficient Inexact Subproblem Solver for Training Structured Neural Network NeurIPS 2024 Accelerated Riemannian Optimization: Handling Constraints with a Prox to Bound Geometric Penalties COLT 2023 A Riemannian Exponential Augmented Lagrangian Method for Computing the Projection Robust Wasserstein Distance NeurIPS 2023 Chordal Averaging on Flag Manifolds and Its Applications ICCV 2023 Curvature and complexity: Better lower bounds for geodesically convex optimization COLT 2023 Global optimality for Euclidean CCCP under Riemannian convexity ICML 2023 Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold COLT 2023 ReSync: Riemannian Subgradient-based Robust Rotation Synchronization NeurIPS 2023 Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds NeurIPS 2023 Riemannian stochastic optimization methods avoid strict saddle points NeurIPS 2023 Accelerating training of batch normalization: A manifold perspective UAI 2022 Efficient Riemannian Meta-Optimization by Implicit Differentiation AAAI 2022 Fast and accurate optimization on the orthogonal manifold without retraction AISTATS 2022 Fast and Efficient MMD-Based Fair PCA via Optimization over Stiefel Manifold AAAI 2022 Global Riemannian Acceleration in Hyperbolic and Spherical Spaces ALT 2022 Pareto navigation gradient descent: a first-order algorithm for optimization in pareto set UAI 2022 Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach ICML 2021