1 citations · 1 across the 4 of their papers we have counts for
4 papers
Optimal Estimation in Orthogonally Invariant Generalized Linear Models: Spectral Initialization and Approximate Message Passing
Yihan Zhang, Hong Chang Ji, Ramji Venkataramanan +1
We consider the problem of parameter estimation from a generalized linear model with a random design matrix that is orthogonally invariant in law. Such a model allows the design ha…
Spectral Estimators for Multi-Index Models: Precise Asymptotics and Optimal Weak Recovery
Filip Kovačević, Yihan Zhang, Marco Mondelli
Multi-index models provide a popular framework to investigate the learnability of functions with low-dimensional structure and, also due to their connections with neural networks,…
Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods
Yihan Zhang, Marco Mondelli
We study the matrix denoising problem of estimating the singular vectors of a rank- signal corrupted by noise with both column and row correlations. Existing works are either un…
Spectral Estimators for Structured Generalized Linear Models via Approximate Message Passing
Yihan Zhang, Hong Chang Ji, Ramji Venkataramanan +1
We consider the problem of parameter estimation in a high-dimensional generalized linear model. Spectral methods obtained via the principal eigenvector of a suitable data-dependent…