39 citations · 160 across the 28 of their papers we have counts for
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cs.LG2022★ 1 cited
Demystify Optimization and Generalization of Over-parameterized PAC-Bayesian Learning
Wei Huang, Chunrui Liu, Yilan Chen +2
PAC-Bayesian is an analysis framework where the training error can be expressed as the weighted average of the hypotheses in the posterior distribution whilst incorporating the pri…
cs.LG2021
Apply Artificial Neural Network to Solving Manpower Scheduling Problem
Tianyu Liu, Lingyu Zhang
The manpower scheduling problem is a kind of critical combinational optimization problem. Researching solutions to scheduling problems can improve the efficiency of companies, hosp…
cs.LG2021★ 5 cited
PAC-Bayes Bounds for Meta-learning with Data-Dependent Prior
Tianyu Liu, Jie Lu, Zheng Yan +1
By leveraging experience from previous tasks, meta-learning algorithms can achieve effective fast adaptation ability when encountering new tasks. However it is unclear how the gene…