Before revision:  We propose efficient adaptive and non-adaptive stochastic algorithms with {\it provable convergence guarantee under mild conditions by using recent advances in stochastic compositional optimization.
After revision:  We propose efficient adaptive and non-adaptive stochastic algorithms with {\it provable convergence guarantee under mild conditions by leveraging recent advances in stochastic compositional optimization.