ADMM for SDP attains local linear convergence under strict complementarity, independent of nondegeneracy.
Building rome with convex optimization.arXiv preprint arXiv:2502.04640, 2025
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ProBA replaces rigid point tracks with a probabilistic pose graph and 3D Gaussian landmarks, optimizing via negative log-likelihood with the Bhattacharyya coefficient to expand the basin of attraction in prior-free SfM.
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Local Linear Convergence of the Alternating Direction Method of Multipliers for Semidefinite Programming under Strict Complementarity
ADMM for SDP attains local linear convergence under strict complementarity, independent of nondegeneracy.
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ProBA: Probabilistic Bundle Adjustment with the Bhattacharyya Coefficient
ProBA replaces rigid point tracks with a probabilistic pose graph and 3D Gaussian landmarks, optimizing via negative log-likelihood with the Bhattacharyya coefficient to expand the basin of attraction in prior-free SfM.