943 citations · 1.2k across the 17 of their papers we have counts for
24 papers
Streaming PAC-Bayes Gaussian process regression with a performance guarantee for online decision making
Tianyu Liu, Jie Lu, Zheng Yan +1
As a powerful Bayesian non-parameterized algorithm, the Gaussian process (GP) has performed a significant role in Bayesian optimization and signal processing. GPs have also advance…
Bayesian Transfer Learning: An Overview of Probabilistic Graphical Models for Transfer Learning
Junyu Xuan, Jie Lu, Guangquan Zhang
Transfer learning where the behavior of extracting transferable knowledge from the source domain(s) and reusing this knowledge to target domain has become a research area of great…
Deep Bayesian Estimation for Dynamic Treatment Regimes with a Long Follow-up Time
Adi Lin, Jie Lu, Junyu Xuan +2
Causal effect estimation for dynamic treatment regimes (DTRs) contributes to sequential decision making. However, censoring and time-dependent confounding under DTRs are challengin…
Learning Bounds for Open-Set Learning
Zhen Fang, Jie Lu, Anjin Liu +2
Traditional supervised learning aims to train a classifier in the closed-set world, where training and test samples share the same label space. In this paper, we target a more chal…
Automatic Learning to Detect Concept Drift
Hang Yu, Tianyu Liu, Jie Lu +1
Many methods have been proposed to detect concept drift, i.e., the change in the distribution of streaming data, due to concept drift causes a decrease in the prediction accuracy o…
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…