Title
Quantitative Stability Analysis for Distributionally Robust Optimization with Moment Constraints.
Abstract
In this paper we consider a broad class of distributionally robust optimization (DRO) problems where the probability of the underlying random variables depends on the decision variables and the ambiguity set is defined through parametric moment conditions with generic cone constraints. Under some moderate conditions, including Slater-type conditions of a cone constrained moment system and Holder continuity of the underlying random functions in the objective and moment conditions, we show local Holder continuity of the optimal value function of the inner maximization problem with respect to (w.r.t.) the decision vector and other parameters in moment conditions, and local Holder continuity of the optimal value of the whole minimax DRO w.r.t. the parameter. Moreover, under the second order growth condition of the Lagrange dual of the inner maximization problem, we demonstrate and quantify the outer semicontinuity of the set of optimal solutions of the minimax DRO w.r.t. variation of the parameter. Finally, we apply the established stability results to two particular classes of DRO problems.
Year
DOI
Venue
2016
10.1137/15M1038529
SIAM JOURNAL ON OPTIMIZATION
Keywords
Field
DocType
distributionally robust optimization,moment conditions with cone constraints,Holder continuity of the optimal value function,outer semicontinuity of the set of optimal solutions,quantitative stability analysis
Minimax,Mathematical optimization,Random variable,Robust optimization,Bellman equation,Parametric statistics,Hölder condition,Ambiguity,Mathematics,Maximization
Journal
Volume
Issue
ISSN
26
3
1052-6234
Citations 
PageRank 
References 
9
0.51
5
Authors
3
Name
Order
Citations
PageRank
Jie Zhang11127.99
Huifu Xu239432.01
Liwei Zhang314631.69