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cs.LG2026
A Ground-Truth Framework for Uncertainty Disentanglement with Posterior Risk
Frieder Wizgall, Georg Tirpitz, Moritz Seiler +2
Reliable uncertainty estimates are critical in safety-sensitive applications. For such estimates to be useful in practice, it is crucial to understand the sources underlying a mode…
cs.LG2026
Muon is Not That Special: Random or Inverted Spectra Work Just as Well
Zakhar Shumaylov, Nathaël Da Costa, Peter Zaika +6
The recent empirical success of the Muon optimizer has renewed interest in non-Euclidean optimization, typically justified by similarities with second-order methods, and linear min…