conftrace_

manifold optimization

67 papers

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Co-occurring keywords

riemannian optimization (89) gradient descent (1144) stiefel manifold (29) riemannian manifold (169) matrix factorization (529) low-rank matrix (174) nonconvex optimization (316) non-convex optimization (547) matrix completion (356) grassmann manifold (32)

Papers

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