3 papers
stat.ML2026
Cross-Calibrated Confidence Fields for Local Risk Updates
Mingzhi Song
How can training data be used to compare local updates to the current model, choose an update, and retain valid bounds for the selected update's population-risk change? We construc…
math.OC2026
Convergence of difference inclusions: a diameter criterion and step-size conditions
Lexiao Lai, Mingzhi Song
We study bounded realizations of discrete difference inclusions with set-valued increments and additive errors. Our results have two parts. First, we give a general convergence cri…
math.OC2026
On the diameter of subgradient sequences in o-minimal structures
Lexiao Lai, Mingzhi Song
We study subgradient sequences of locally Lipschitz functions definable in a polynomially bounded o-minimal structure. We show that the diameter of any subgradient sequence is rela…