Chi-Ken Lu

According to our database, Chi-Ken Lu authored at least 8 papers between 2018 and 2023.

Collaborative distances:

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

2023

Bayesian inference with finitely wide neural networks.

Chi-Ken Lu

CoRR, 2023

2022

On Connecting Deep Trigonometric Networks with Deep Gaussian Processes: Covariance, Expressivity, and Neural Tangent Kernel.

Chi-Ken Lu, Patrick Shafto

CoRR, 2022

2021

Conditional Deep Gaussian Processes: Multi-Fidelity Kernel Learning.

Chi-Ken Lu, Patrick Shafto

Entropy, 2021

Conditional Deep Gaussian Processes: Empirical Bayes Hyperdata Learning.

Chi-Ken Lu, Patrick Shafto

Entropy, 2021

2020

Multi-source Deep Gaussian Process Kernel Learning.

Chi-Ken Lu, Patrick Shafto

CoRR, 2020

Interpretable Deep Gaussian Processes with Moments.

Chi-Ken Lu, Scott Cheng-Hsin Yang, Xiaoran Hao, Patrick Shafto

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Interpretable deep Gaussian processes.

Chi-Ken Lu, Scott Cheng-Hsin Yang, Xiaoran Hao, Patrick Shafto

CoRR, 2019

2018

Standing Wave Decomposition Gaussian Process.

Chi-Ken Lu, Scott Cheng-Hsin Yang, Patrick Shafto

CoRR, 2018