2 papers
math.OC2024
Problem-Parameter-Free Decentralized Nonconvex Stochastic Optimization
Jiaxiang Li, Xuxing Chen, Shiqian Ma +1
Existing decentralized algorithms usually require knowledge of problem parameters for updating local iterates. For example, the hyperparameters (such as learning rate) usually requ…
math.OC2023
Zeroth-order Riemannian Averaging Stochastic Approximation Algorithms
Jiaxiang Li, Krishnakumar Balasubramanian, Shiqian Ma
We present Zeroth-order Riemannian Averaging Stochastic Approximation (\texttt{Zo-RASA}) algorithms for stochastic optimization on Riemannian manifolds. We show that \texttt{Zo-RAS…