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math.OC2025
Hinge-Proximal Stochastic Gradient Methods for Convex Optimization with Functional Constraints
Vaibhav Rajoriya, Prateek Priyaranjan Pradhan, Ketan Rajawat
This paper considers stochastic convex optimization problems with smooth functional constraints arising in constrained estimation and robust signal recovery. We operate in the high…
math.OC2025
Stochastic Sequential Quadratic Programming for Optimization with Functional Constraints
Panchajanya Sanyal, Srujan Teja Thomdapu, Ketan Rajawat
Stochastic convex optimization problems with nonlinear functional constraints are ubiquitous in signal processing applications including constrained least-squares, set-membership a…