14 citations · 63 across the 16 of their papers we have counts for
4 papers · 1 filter
Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms
Ye Tian, Haolei Weng, Yang Feng
While supervised federated learning approaches have enjoyed significant success, the domain of unsupervised federated learning remains relatively underexplored. Several federated E…
Robust Unsupervised Multi-task and Transfer Learning on Gaussian Mixture Models
Ye Tian, Haolei Weng, Lucy Xia +1
Unsupervised learning has been widely used in many real-world applications. One of the simplest and most important unsupervised learning models is the Gaussian mixture model (GMM).…
Spectral clustering via adaptive layer aggregation for multi-layer networks
Sihan Huang, Haolei Weng, Yang Feng
One of the fundamental problems in network analysis is detecting community structure in multi-layer networks, of which each layer represents one type of edge information among the…
Does SLOPE outperform bridge regression?
Shuaiwen Wang, Haolei Weng, Arian Maleki
A recently proposed SLOPE estimator (arXiv:1407.3824) has been shown to adaptively achieve the minimax estimation rate under high-dimensional sparse linear regression mode…