3 citations · 5 across the 5 of their papers we have counts for
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stat.ML2024
Double Machine Learning for Adaptive Causal Representation in High-Dimensional Data
Lynda Aouar, Han Yu
Adaptive causal representation learning from observational data is presented, integrated with an efficient sample splitting technique within the semiparametric estimating equation…
cs.LG2024★ 2 cited
SPD-CFL: Stepwise Parameter Dropout for Efficient Continual Federated Learning
Yuning Yang, Han Yu, Chuan Sun +5
Federated Learning (FL) is a collaborative machine learning paradigm for training models on local sensitive data with privacy protection. Pre-trained transformer-based models have…