Liang Ding

According to our database, Liang Ding authored at least 10 papers between 2016 and 2024.

Collaborative distances:

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

2024

Sample and Computationally Efficient Stochastic Kriging in High Dimensions.

Liang Ding, Xiaowei Zhang

Oper. Res., 2024

Kernel Multigrid: Accelerate Back-fitting via Sparse Gaussian Process Regression.

Lu Zou, Liang Ding

CoRR, 2024

A General Theory for Kernel Packets: from state space model to compactly supported basis.

Liang Ding, Rui Tuo

CoRR, 2024

2023

Representing Additive Gaussian Processes by Sparse Matrices.

Lu Zou, Haoyuan Chen, Liang Ding

CoRR, 2023

2022

Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations.

Haoyuan Chen, Liang Ding, Rui Tuo

J. Mach. Learn. Res., 2022

2021

A Sparse Expansion For Deep Gaussian Processes.

Liang Ding, Rui Tuo, Shahin Shahrampour

CoRR, 2021

High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids.

Liang Ding, Rui Tuo, Xiaowei Zhang

CoRR, 2021

2020

Overcoming the Curse of Dimensionality in Density Estimation with Mixed Sobolev GANs.

Liang Ding, Rui Tuo, Shahin Shahrampour

CoRR, 2020

Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features.

Liang Ding, Rui Tuo, Shahin Shahrampour

Proceedings of the 37th International Conference on Machine Learning, 2020

2016

Sequential sampling for Bayesian robust ranking and selection.

Xiaowei Zhang, Liang Ding

Proceedings of the Winter Simulation Conference, 2016