Spectrally Targeted Muon
The Muon optimizer forces update matrices to have singular values of one, which works well for large models. The researchers introduced Spectrally Targeted Muon, which selectively orthogonalizes singular values based on a threshold ($ au$). This approach reveals that small singular values are crucial for training and that shrinking the largest ones flattens the parameter spectrum.