Sina Sharifi

Anytime-Feasible Gradient Descent for Constrained Optimization Under Gradient Uncertainty

Constrained optimization is central to many engineering systems in which decisions must satisfy strict safety and operational requirements, especially in real-time settings with limited computational budgets. In such scenarios, optimization algorithms are often terminated before full convergence, making *anytime feasib...