Author

Yuya Yamakawa

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Preprint Oct 2026

A Unifying View of Distributionally Robust Optimization for Probability Smoothing via Maximum Entropy

The probability smoothing problem seeks estimators that assign positive probability to all categories, including those unobserved in a finite sample. In our previous work, we established that the estimator derived from distributionally robust optimization (DRO) with a $q$-norm ambiguity set ($q$-DRO) satisfies the axio...

Kota Kurihara, Yuya Yamakawa, Yoichi Izunaga · 0 citations

Preprint Aug 2026

A stabilized sequential quadratic programming method for degenerate nonlinear optimization problems on Riemannian manifolds

This study extends the stabilized SQP framework from Euclidean spaces to Riemannian manifolds and proves that the generated sequence has an accumulation point that is a Karush--Kuhn--Tucker (KKT) point, an approximate KKT (AKKT) point, or a stationary point of an associated feasibility problem.

Yuya Yamakawa, Mamoru Oka · 0 citations