Adaptive Importance Sampling for Efficient Stochastic Root Finding and Quantile Estimation

Shengyi He, Guangxin Jiang, Henry Lam +1

In solving simulation-based stochastic root-finding or optimization problems that involve rare events, such as in extreme quantile estimation, running crude Monte Carlo can be proh…