Unbiased MLMC stochastic gradient-based optimization of Bayesian experimental designs. - Takashi Goda; Tomohiko Hironaka; Wataru Kitade (CoRR, 2020)

Unbiased MLMC Stochastic Gradient-Based Optimization of Bayesian Experimental Designs. - Takashi Goda; Tomohiko Hironaka; Wataru Kitade; Adam Foster 001 (SIAM J. Sci. Comput., 2022)

Constructing unbiased gradient estimators with finite variance for conditional stochastic optimization. - Takashi Goda; Wataru Kitade (Math. Comput. Simul., 2023)