Xinyu Jiang

The paper introduces a Randomized Partition Strategy for efficient double machine learning in single-cell data, showing accuracy loss follows a random walk and compute savings are predictable.

The paper compares three nuisance function construction strategies for causal inference in single-cell transcriptomics, finding that shared unsupervised deep learning performs well without cross-fitting.