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A new likelihood ratio method for training artificial neural networks

Speeding up Paulson's Procedure for large-scale problems using parallel computing

Technical Note: Knowledge gradient for selection with covariates: consistency and computation

Who is next: Patient prioritization under emergency department blocking

Integrating Algorithmic Sampling-Based Motion Planning with Learning in Autonomous Driving

Knockout-tournament procedures for large-scale ranking and selection in parallel computing environments

Chinese Talk on Bilibili

Meaningful sensitivities: A new family of simulation sensitivity measures

Robust simulation with likelihood-ratio constrained input uncertainty

Earning and learning with varying cost

Learning-based robust optimization procedures and statistical guarantee