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Yong Zang

2 accepted papers

2024

Bias-aware Boolean Matrix Factorization Using Disentangled Representation Learning

UAI 2024poster

Boolean matrix factorization (BMF) has been widely utilized in fields such as recommendation systems, graph learning, text mining, and -omics data analysis. Traditional BMF methods decompose a binary matrix into the Boolean product of two lower-rank Boolean matrices plus homoscedastic random errors.…

2022

Bias aware probabilistic Boolean matrix factorization

UAI 2022poster

Boolean matrix factorization (BMF) is a combinatorial problem arising from a wide range of applications including recommendation system, collaborative filtering, and dimensionality reduction. Currently, the noise model of existing BMF methods is often assumed to be homoscedastic; however, in real wo…