Haolei Weng

According to our database, Haolei Weng authored at least 12 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Signal-to-Noise Ratio Aware Minimaxity and Higher-Order Asymptotics.

Yilin Guo, Haolei Weng, Arian Maleki

IEEE Trans. Inf. Theory, May, 2024

Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms.

Ye Tian, Haolei Weng, Yang Feng

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Spectral Clustering via Adaptive Layer Aggregation for Multi-Layer Networks.

Sihan Huang, Haolei Weng, Yang Feng

J. Comput. Graph. Stat., 2023

Unsupervised Federated Learning: A Federated Gradient EM Algorithm for Heterogeneous Mixture Models with Robustness against Adversarial Attacks.

Ye Tian, Haolei Weng, Yang Feng

CoRR, 2023

2022

Unsupervised Multi-task and Transfer Learning on Gaussian Mixture Models.

Ye Tian, Haolei Weng, Yang Feng

CoRR, 2022

2020

Matrix completion with nonconvex regularization: spectral operators and scalable algorithms.

Rahul Mazumder, Diego Saldana, Haolei Weng

Stat. Comput., 2020

2019

Does SLOPE outperform bridge regression?

Shuaiwen Wang, Haolei Weng, Arian Maleki

CoRR, 2019

2017

Does ℓ_p-Minimization Outperform ℓ₁-Minimization?

Le Zheng, Arian Maleki, Haolei Weng, Xiaodong Wang, Teng Long

IEEE Trans. Inf. Theory, 2017

Low noise sensitivity analysis of Lq-minimization in oversampled systems.

Haolei Weng, Arian Maleki

CoRR, 2017

Which bridge estimator is optimal for variable selection?

Shuaiwen Wang, Haolei Weng, Arian Maleki

CoRR, 2017

2016

Overcoming The Limitations of Phase Transition by Higher Order Analysis of Regularization Techniques.

Haolei Weng, Arian Maleki, Le Zheng

CoRR, 2016

Phase transition and noise sensitivity of ℓp-minimization for 0 ≤ p ≤ 1.

Haolei Weng, Le Zheng, Arian Maleki, Xiaodong Wang

Proceedings of the IEEE International Symposium on Information Theory, 2016