7 citations · 7 across the 3 of their papers we have counts for
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cs.LG2021
Hyper-parameter optimization based on soft actor critic and hierarchical mixture regularization
Chaoyue Liu, Yulai Zhang
Hyper-parameter optimization is a crucial problem in machine learning as it aims to achieve the state-of-the-art performance in any model. Great efforts have been made in this fiel…
cs.LG2020★ 7 cited
Hyper-parameter estimation method with particle swarm optimization
Yaru Li, Yulai Zhang
Particle swarm optimization (PSO) method cannot be directly used in the problem of hyper-parameter estimation since the mathematical formulation of the mapping from hyper-parameter…
cs.LG2020
Parallel ensemble methods for causal direction inference
Yulai Zhang, Jiachen Wang, Gang Cen +1
Inferring the causal direction between two variables from their observation data is one of the most fundamental and challenging topics in data science. A causal direction inference…