3 papers
cs.IT2024
Simultaneous Blind Demixing and Super-resolution via Vectorized Hankel Lift
Haifeng Wang, Jinchi Chen, Hulei Fan +2
In this work, we investigate the problem of simultaneous blind demixing and super-resolution. Leveraging the subspace assumption regarding unknown point spread functions, this prob…
cs.LG2024
Global Convergence of Natural Policy Gradient with Hessian-aided Momentum Variance Reduction
Jie Feng, Ke Wei, Jinchi Chen
Natural policy gradient (NPG) and its variants are widely-used policy search methods in reinforcement learning. Inspired by prior work, a new NPG variant coined NPG-HM is developed…
math.OC2023
A Zeroth-Order Variance-Reduced Method for Decentralized Stochastic Non-convex Optimization
Hongxu Chen, Jinchi Chen, Ke Wei
In this paper, we consider a distributed stochastic non-convex optimization problem, which is about minimizing a sum of local cost functions over a network with only zeroth-ord…