The knowledge gradient algorithm using locally parametric approximations. - Bolong Cheng; Arta A. Jamshidi; Warren B. Powell (WSC, 2013)

Optimal learning with a local parametric belief model. - Bolong Cheng; Arta A. Jamshidi; Warren B. Powell (J. Glob. Optim., 2015)

Low-Rank Value Function Approximation for Co-Optimization of Battery Storage. - Bolong Cheng; Tsvetan Asamov; Warren B. Powell (IEEE Trans. Smart Grid, 2018)

Co-Optimizing Battery Storage for the Frequency Regulation and Energy Arbitrage Using Multi-Scale Dynamic Programming. - Bolong Cheng; Warren B. Powell (IEEE Trans. Smart Grid, 2018)

Efficient Rollout Strategies for Bayesian Optimization. - Eric Hans Lee; David Eriksson; David Bindel; Bolong Cheng; Mike Mccourt (UAI, 2020)

Beyond the Pareto Efficient Frontier: Constraint Active Search for Multiobjective Experimental Design. - Gustavo Malkomes; Bolong Cheng; Eric Hans Lee; Mike Mccourt (ICML, 2021)

Achieving Diversity in Objective Space for Sample-Efficient Search of Multiobjective Optimization Problems. - Eric Hans Lee; Bolong Cheng; Michael McCourt (WSC, 2022)

Bridging Offline and Online Experimentation: Constraint Active Search for Deployed Performance Optimization. - Junpei Komiyama; Gustavo Malkomes; Bolong Cheng; Michael McCourt (Trans. Mach. Learn. Res., 2022)

SigOpt Mulch: An intelligent system for AutoML of gradient boosted trees. - Aleksei G. Sorokin; Xinran Zhu; Eric Hans Lee; Bolong Cheng (Knowl. Based Syst., 2023)