129 citations · 179 across the 13 of their papers we have counts for
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math.ST2021★ 7 cited
Inference for Heteroskedastic PCA with Missing Data
Yuling Yan, Yuxin Chen, Jianqing Fan
This paper studies how to construct confidence regions for principal component analysis (PCA) in high dimension, a problem that has been vastly under-explored. While computing meas…
cs.LG2021★ 5 cited
Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model
Bingyan Wang, Yuling Yan, Jianqing Fan
The curse of dimensionality is a widely known issue in reinforcement learning (RL). In the tabular setting where the state space and the action space ar…