47 citations · 70 across the 10 of their papers we have counts for
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stat.ML2021
High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids
Liang Ding, Rui Tuo, Xiaowei Zhang
High-dimensional simulation optimization is notoriously challenging. We propose a new sampling algorithm that converges to a global optimal solution and suffers minimally from the…
stat.ML2021★ 1 cited
Asymptotic Theory for IV-Based Reinforcement Learning with Potential Endogeneity
Jin Li, Ye Luo, Zigan Wang +1
In the standard data analysis framework, data is collected (once and for all), and then data analysis is carried out. However, with the advancement of digital technology, decision-…