3 papers
math.OC2026
An Overview and Comparison of Spectral Bundle Methods for Primal and Dual Semidefinite Programs
Feng-Yi Liao, Lijun Ding, Yang Zheng
The spectral bundle method developed by Helmberg and Rendl is well-established for solving large-scale semidefinite programs (SDPs) in the dual form, especially when the SDPs admit…
cs.LG2025
R-FORCE: Robust Learning for Random Recurrent Neural Networks
Yang Zheng, Eli Shlizerman
Random Recurrent Neural Networks (RRNN) are the simplest recurrent networks to model and extract features from sequential data. The simplicity however comes with a price; RRNN are…
cs.LG2025
End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation
Shiyu Wang, Fan Zhou, Yinbo Sun +3
Multivariate time series forecasting with hierarchical structure is pervasive in real-world applications, demanding not only predicting each level of the hierarchy, but also reconc…