1 citations · 2 across the 2 of their papers we have counts for
3 papers
quant-ph2025
Optimal Scaling Quantum Interior Point Method for Linear Optimization
Mohammadhossein Mohammadisiahroudi, Zeguan Wu, Pouya Sampourmahani +2
The emergence of huge-scale, data-intensive linear optimization (LO) problems in applications such as machine learning has driven the need for more computationally efficient interi…
math.OC2022★ 1 cited
Two Polyak-Type Step Sizes for Mirror Descent
Jun-Kai You, Yen-Huan Li
We propose two Polyak-type step sizes for mirror descent and prove their convergences for minimizing convex locally Lipschitz functions. Both step sizes, unlike the original Polyak…
cs.IT2021★ 1 cited
Minimizing Quantum Renyi Divergences via Mirror Descent with Polyak Step Size
Jun-Kai You, Hao-Chung Cheng, Yen-Huan Li
Quantum information quantities play a substantial role in characterizing operational quantities in various quantum information-theoretic problems. We consider numerical computation…