Stochastic approach for price optimization problems with decision-dependent uncertainty

Yuya Hikima, Akiko Takeda

Abstract: Highlights•Formulation of general pricing problems by decision-dependent uncertainty.•The formulation can capture the price-dependent uncertainty of demand.•Projected stochastic gradient descent with low-variance stochastic gradients.•Effective computation of minibatch gradients in multi-agent applications.