Stochastic-Gradient-based Interior-Point Algorithm for Smooth Bound-Constrained Optimization

The authors present a unique stochastic-gradient-based interior-point algorithm for solving smooth bound-constrained optimization problems, demonstrating convergence guarantees in both deterministic and stochastic settings.