Optimal Orthogonal Group Synchronization and Rotation Group Synchronization
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Abstract (arXiv)
We study the statistical estimation problem of orthogonal group synchronization and rotation group synchronization. The model is Yij = Zi^* Zj*T + σ Wij∈ℝd× d where Wij is a Gaussian random matrix and Zi^* is either an orthogonal matrix or a rotation matrix, and each Yij is observed independently with probability p. We analyze an iterative polar decomposition algorithm for the estimation of Z^* and show it has an error of (1+o(1))fracσ2 d(d-1)2np when initialized by spectral methods. A matching minimax lower bound is further established which leads to the optimality of the proposed algorithm as it achieves the exact minimax risk.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 18 of its 36 references that are in the map. First posted on arXiv 28 Sep 2021.
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18 of 36 references.
References · 18
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6 more
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Citing papers per year: 2021: 1; 2022: 1; 2023: 0; 2024: 1; 2025: 0; 2026: 1.
4 papers.
- 2022Seeded graph matching for the correlated Gaussian Wigner model via the projected power methodcited by 4
- 2021A Spectral Method for Joint Community Detection and Orthogonal Group Synchronizationcited by 3
- 2026NS-RGS: Newton-Schulz based Riemannian gradient method for orthogonal group synchronizationcited by 2
- 2024Dynamic angular synchronization under smoothness constraintscited by 0
- 2026NS-RGS: Newton-Schulz based Riemannian gradient method for orthogonal group synchronization7 Apr 2026
- 2024Dynamic angular synchronization under smoothness constraints6 Jun 2024
- 2022Seeded graph matching for the correlated Gaussian Wigner model via the projected power method8 Apr 2022
- 2021A Spectral Method for Joint Community Detection and Orthogonal Group Synchronization25 Dec 2021