Stochastic Compositional Gradient Descent under Compositional Constraints

Srujan Teja Thomdapu, Harshvardhan, Ketan Rajawat

This work studies constrained stochastic optimization problems where the objective and constraint functions are convex and expressed as compositions of stochastic functions. The pr…