Kuo-Wei Lai

According to our database, Kuo-Wei Lai authored at least 6 papers between 2020 and 2026.

Collaborative distances:

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

2026

How Does the ReLU Activation Affect the Implicit Bias of Gradient Descent on High-dimensional Neural Network Regression?

Kuo-Wei Lai, Guanghui Wang, Molei Tao, Vidya Muthukumar

CoRR, March, 2026

2025

General Loss Functions Lead to (Approximate) Interpolation in High Dimensions.

Kuo-Wei Lai, Vidya Muthukumar

J. Mach. Learn. Res., 2025

Task Shift: From Classification to Regression in Overparameterized Linear Models.

Tyler LaBonte, Kuo-Wei Lai, Vidya Muthukumar

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Sharp Analysis of Out-of-Distribution Error for "Importance-Weighted" Estimators in the Overparameterized Regime.

Kuo-Wei Lai, Vidya Muthukumar

Proceedings of the IEEE International Symposium on Information Theory, 2024

2023

DeepSTI: Towards tensor reconstruction using fewer orientations in susceptibility tensor imaging.

Zhenghan Fang, Kuo-Wei Lai, Peter C. M. van Zijl, Xu Li, Jeremias Sulam

Medical Image Anal., 2023

2020

Learned Proximal Networks for Quantitative Susceptibility Mapping.

Kuo-Wei Lai, Manisha Aggarwal, Peter C. M. van Zijl, Xu Li, Jeremias Sulam

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020