4 papers
Upper Approximation Bounds for Neural Oscillators
Zifeng Huang, Konstantin M. Zuev, Yong Xia +1
Neural oscillators, originating from second-order ordinary differential equations (ODEs), have demonstrated strong performance in stably learning causal mappings between long-term…
Accelerated Dinkelbach method
Hanzhi Chen, Chuyue Zheng, Yong Xia
The classical Dinkelbach method (1967) solves fractional programming via a parametric approach, generating a decreasing upper bound sequence that converges to the optimum. Its impo…
Convergence Analysis of Reshaped Wirtinger Flow with Random Initialization for Phase Retrieval
Linbin Li, Haiyang Peng, Yong Xia +1
This paper investigates phase retrieval using the Reshaped Wirtinger Flow (RWF) algorithm, focusing on recovering target vector $\vx \in \R^n$ from magnitude measurements \(y_i = \…
Inertial Accelerated Stochastic Mirror Descent for Large-Scale Generalized Tensor CP Decomposition
Zehui Liu, Qingsong Wang, Chunfeng Cui +1
The majority of classic tensor CP decomposition models are designed for squared loss, employing Euclidean distance as a local proximal term. However, the Euclidean distance is unsu…