Statistical Inference via Sketched StoSQP: Online Second-Order Methods for Constrained Optimization
Sen Na at Georgia Tech and Michael Mahoney at UC Berkeley prove that a sketched, adaptive Stochastic SQP method achieves asymptotic normality for constrained nonlinear stochastic optimization — the first online estimator that handles equality constraints without ever computing a…