Variance-reduced first-order methods for deterministically constrained stochastic nonconvex optimization with strong convergence guarantees

Zhaosong Lu, Sanyou Mei, Yifeng Xiao

In this paper, we study a class of deterministically constrained stochastic optimization problems. Existing methods typically aim to find an $\epsilon$-stochastic stationary point, where…