activity
20152024
most citedLearning under Concept Drift: A Review

943 citations · 1.2k across the 20 of their papers we have counts for

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5 papers · 1 filter

stat.ML2021

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…

stat.ML2020

Learning Deep Kernels for Non-Parametric Two-Sample Tests

Feng Liu, Wenkai Xu, Jie Lu +3

We propose a class of kernel-based two-sample tests, which aim to determine whether two sets of samples are drawn from the same distribution. Our tests are constructed from kernels…

stat.ML20151 cited

Dependent Indian Buffet Process-based Sparse Nonparametric Nonnegative Matrix Factorization

Junyu Xuan, Jie Lu, Guangquan Zhang +2

Nonnegative Matrix Factorization (NMF) aims to factorize a matrix into two optimized nonnegative matrices appropriate for the intended applications. The method has been widely used…

stat.ML2015

Nonparametric Relational Topic Models through Dependent Gamma Processes

Junyu Xuan, Jie Lu, Guangquan Zhang +2

Traditional Relational Topic Models provide a way to discover the hidden topics from a document network. Many theoretical and practical tasks, such as dimensional reduction, docume…

stat.ML20152 cited

Infinite Author Topic Model based on Mixed Gamma-Negative Binomial Process

Junyu Xuan, Jie Lu, Guangquan Zhang +2

Incorporating the side information of text corpus, i.e., authors, time stamps, and emotional tags, into the traditional text mining models has gained significant interests in the a…