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stat.ML2026
Causal ASCEND: Scalable Two-tier Causal Discovery on High Dimensional Multi-omics Data
Stephen Asiedu, David Watson
Biological systems exhibit a hierarchical structure, characterised by directed flow from upstream regulators to downstream effects. Although this ordering provides a natural scaffo…
stat.ML2026
Autoencoding Random Forests
Binh Duc Vu, Jan Kapar, Marvin Wright +1
We propose a principled method for autoencoding with random forests. Our strategy builds on foundational results from nonparametric statistics and spectral graph theory to learn a…