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cs.LG2026
Diverse Dictionary Learning
Yujia Zheng, Zijian Li, Shunxing Fan +2
Given only observational data , where both the latent variables and the generating process are unknown, recovering is ill-posed without additional assumptions…
cs.LG2025
Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning
Zijian Li, Shunxing Fan, Yujia Zheng +6
Disentangled representation learning aims to uncover latent variables underlying the observed data, and generally speaking, rather strong assumptions are needed to ensure identifia…
cs.LG2025
Permutation-Based Rank Test in the Presence of Discretization and Application in Causal Discovery with Mixed Data
Xinshuai Dong, Ignavier Ng, Boyang Sun +6
Recent advances have shown that statistical tests for the rank of cross-covariance matrices play an important role in causal discovery. These rank tests include partial correlation…