Haotian Lin

According to our database, Haotian Lin authored at least 7 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2025

Model-Robust and Adaptive-Optimal Transfer Learning for Tackling Concept Shifts in Nonparametric Regression.

Haotian Lin, Matthew Reimherr

CoRR, January, 2025

Co-Regularization Enhances Knowledge Transfer in High Dimensions.

Shuo Shuo Liu, Haotian Lin, Matthew Reimherr, Runze Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Pure Differential Privacy for Functional Summaries with a Laplace-like Process.

Haotian Lin, Matthew Reimherr

J. Mach. Learn. Res., 2024

On Hypothesis Transfer Learning of Functional Linear Models.

Haotian Lin, Matthew Reimherr

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

Smoothness Adaptive Hypothesis Transfer Learning.

Haotian Lin, Matthew Reimherr

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

2023

Differentially Private Functional Summaries via the Independent Component Laplace Process.

Haotian Lin, Matthew Reimherr

CoRR, 2023

2022

On Transfer Learning in Functional Linear Regression.

Haotian Lin, Matthew Reimherr

CoRR, 2022