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Pseudospectral Bounds for Transient Amplification in Coupled Gradient Descent

arXiv:2606.04031v1 Announce Type: new Abstract: Coupled gradient descent--where the update of one parameter block depends on another--underlies bilevel optimization, two-time-scale stochastic approximation, and adversarial training. When the coupled Jacobian is block-triangular, asymptotic stability is governed by the spectral radii of the diagonal blocks, yet transient amplification before convergence can be arbitrarily large due to non-normality. We develop a sharp pseudospectral theory...

arXiv CS 6d ago

SEArch: Optimistic Policy Selection Between Scene Noise and Drift for UAV Radar Search

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Online Learning with Gradient-Variation Interval Regret

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Implicit Neural Optimal Transport via Fixed-Point Optimization

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