3 papers
math.OC2026
An Absolute-Error Proximal Bundle Method through the Lens of Frank-Wolf
David Fersztand, Xu Andy Sun
The proximal bundle method (PBM) is a fundamental and computationally effective algorithm for solving optimization problems with nonsmooth components. In this paper, we conduct a t…
cs.LG2025
XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting
Ziqi Wang, Hailiang Zhao, Cheng Bao +4
Long-term time-series forecasting is critical for environmental monitoring, yet water quality prediction remains challenging due to complex periodicity, nonstationarity, and abrupt…
math.OC2025
On the Acceleration of Proximal Bundle Methods
David Fersztand, Xu Andy Sun
The proximal bundle method (PBM) is a fundamental and computationally effective algorithm for solving nonsmooth optimization problems. In this paper, we present the first variant o…