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Zhuozhi XIAN

2 accepted papers

2026

Column Thresholding for Sparse Spiked Wigner Models: Improved Signal Strength Requirements

ICML 2026poster

We study the sparse spiked Wigner model, where the goal is to recover an $s$-sparse unit vector $\symbfit{u} \in \mathbb{R}^d$ from a noisy observation $\symbfit{Y} = \beta \symbfit{u} \symbfit{u}^\top + \symbfit{W}$. While the information-theoretic threshold is $\beta = \widetilde{\Omega}(\sqrt{s})…

Cited by 0SourceScholar
2025

Fast and Provable Algorithms for Sparse PCA with Improved Sample Complexity

ICML 2025poster

We explore the single-spiked covariance model within the context of sparse principal component analysis (PCA), which aims to recover a sparse unit vector from noisy samples. From an information-theoretic perspective, $O(k \log p)$ observations are sufficient to recover a $k$-sparse $p$-dimensional v…

Cited by 0SourcePDFScholar