SGR-GMM introduces spectral gradient reweighting via an entropy-regularized spectral game to create a robust GMM estimator, with proven convergence and finite-sample error bounds under contamination.
Global convergence of iteratively reweighted least squares for robust subspace recovery.arXiv preprint arXiv:2506.20533, 2025
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Robust Moment-Based Estimation via Spectral Gradient Reweighting
SGR-GMM introduces spectral gradient reweighting via an entropy-regularized spectral game to create a robust GMM estimator, with proven convergence and finite-sample error bounds under contamination.