Recovering Best Statistical Guarantees via the Empirical Divergence-Based Distributionally Robust Optimization.

Published in: Oper. Res. (2019)

Keyphrases

robust optimization
chance constrained
mathematical programming
stochastic programming
information theoretic
portfolio optimization
machine learning
lot sizing
risk measures
decision theory
chance constraints
artificial intelligence
reinforcement learning
optimization problems
linear programming