Yingbin Liang

7 catalog papers. Name-matched publications do not establish a verified researcher identity.

Publications

• Random Pruning Over-parameterized Neural Networks Can Improve Generalization: A Training Dynamics Analysis — Journal of Machine Learning Research 2025
• Neural Networks with Sparse Activation Induced by Large Bias: Tighter Analysis with Bias-Generalized NTK — Journal of Machine Learning Research 2024
• Lower Bounds and Accelerated Algorithms for Bilevel Optimization — Journal of Machine Learning Research 2023
• Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning — Journal of Machine Learning Research 2022
• Spectral Algorithms for Community Detection in Directed Networks — Journal of Machine Learning Research 2020
• Distributed Proximal Gradient Algorithm for Partially Asynchronous Computer Clusters — Journal of Machine Learning Research 2018
• A Nonconvex Approach for Phase Retrieval: Reshaped Wirtinger Flow and Incremental Algorithms — Journal of Machine Learning Research 2017