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Nonconvex Phase Synchronization
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Phase recovery, MaxCut and complex semidefinite programming
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Approximating the little Grothendieck problem over the orthogonal and unitary groups
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Tightness of the maximum likelihood semidefinite relaxation for angular synchronization
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Trust-Region Methods on Riemannian Manifolds
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Angular synchronization by eigenvectors and semidefinite programming
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Complexity bounds for second-order optimality in unconstrained optimization
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An analytical solution for the complete sensor network attitude estimation problem
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Phase transitions in semidefinite relaxations
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Exact and stable recovery of rotations for robust synchronization
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Cramer-Rao bounds for synchronization of rotations
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Phase retrieval from power spectra of masked signals
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Global rates of convergence for nonconvex optimization on manifolds
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Distributed Clock Synchronization over Wireless Networks: Algorithms and Analysis
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Robust Rotation and Translation Estimation in Multiview Reconstruction
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2007 IEEE Conference on Computer Vision and Pattern Recognition
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Complete dictionary recovery over the sphere
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Nonlinear Optimization: Complexity Issues.
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Generalized Power Method for Sparse Principal Component Analysis
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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McTorch, a manifold optimization library for deep learning
inferred← citeshttps://doi.org/10.48550/arxiv.1810.02024openalex-snapshot
Convergence to Second-Order Stationarity for Constrained Non-Convex Optimization
inferred← citeshttps://doi.org/10.48550/arxiv.1901.08235openalex-snapshot
Multi-Frequency Phase Synchronization
inferred← citeshttps://doi.org/10.48550/arxiv.1903.11576openalex-snapshot
An Alternating Manifold Proximal Gradient Method for Sparse PCA and Sparse CCA
inferred← citeshttps://doi.org/10.48550/arxiv.1911.08700openalex-snapshot
Tightness of the semidefinite relaxation for orthogonal trace-sum maximization
inferred← citeshttps://doi.org/10.48550/arxiv.2001.06970openalex-snapshot
Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications
inferred← citeshttps://doi.org/10.48550/arxiv.2002.05299openalex-snapshot
Depth Descent Synchronization in $\mathrm{SO}(D)$
inferred← citeshttps://doi.org/10.48550/arxiv.2002.07624openalex-snapshot
Optimal Structured Principal Subspace Estimation: Metric Entropy and Minimax Rates
inferred← citeshttps://doi.org/10.48550/arxiv.2002.12795openalex-snapshot
The Landscape of Matrix Factorization Revisited
inferred← citeshttps://doi.org/10.48550/arxiv.2006.06658openalex-snapshot
Robust Multi-object Matching via Iterative Reweighting of the Graph Connection Laplacian
inferred← citeshttps://doi.org/10.48550/arxiv.2007.06753openalex-snapshot
From Symmetry to Geometry: Tractable Nonconvex Problems
inferred← citeshttps://doi.org/10.48550/arxiv.2007.09524openalex-snapshot
A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis
inferred← citeshttps://doi.org/10.48550/arxiv.2104.10356openalex-snapshot
General Low-rank Matrix Optimization: Geometric Analysis and Sharper Bounds
inferred← citeshttps://doi.org/10.48550/arxiv.2105.10318openalex-snapshot
Lecture notes on non-convex algorithms for low-rank matrix recovery
inferred← citeshttps://doi.org/10.48550/arxiv.2106.02111openalex-snapshot
Efficient $\mathbb{Z}_2$ synchronization on $\mathbb{Z}^d$ under symmetry-preserving side information
inferred← citeshttps://doi.org/10.48550/arxiv.2106.05644openalex-snapshot
Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Power Method
inferred← citeshttps://doi.org/10.48550/arxiv.2106.08775openalex-snapshot
Momentum-inspired Low-Rank Coordinate Descent for Diagonally Constrained SDPs
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Unbiasing Procedures for Scale-invariant Multi-reference Alignment
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Seeded graph matching for the correlated Gaussian Wigner model via the projected power method
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When Are Nonconvex Optimization Problems Not Scary?
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