2024
The Collusion of Memory and Nonlinearity in Stochastic Approximation With Constant Stepsize
NeurIPS 2024spotlight
In this work, we investigate stochastic approximation (SA) with Markovian data and nonlinear updates under constant stepsize $\alpha>0$. Existing work has primarily focused on either i.i.d. data or linear update rules. We take a new perspective and carefully examine the simultaneous presence of Mark…