Mark D. Risser

According to our database, Mark D. Risser authored at least 6 papers between 2022 and 2026.

Collaborative distances:

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

2026

Wasserstein-type Gaussian Process Regressions for Input Measurement Uncertainty.

Hengrui Luo, Xiaoye S. Li, Yang Liu, Marcus Noack, Ji Qiang, Mark D. Risser

CoRR, March, 2026

GGMPs: Generalized Gaussian Mixture Processes.

Vardaan Tekriwal, Mark D. Risser, Hengrui Luo, Marcus Michael Noack

CoRR, March, 2026

2025

gp2Scale: A Class of Compactly-Supported Non-Stationary Kernels and Distributed Computing for Exact Gaussian Processes on 10 Million Data Points.

Marcus Michael Noack, Mark D. Risser, Hengrui Luo, Vardaan Tekriwal, Ronald Pandolfi

CoRR, December, 2025

2024

Compactly-supported nonstationary kernels for computing exact Gaussian processes on big data.

Mark D. Risser, Marcus Michael Noack, Hengrui Luo, Ronald Pandolfi

CoRR, 2024

2023

A Unifying Perspective on Non-Stationary Kernels for Deeper Gaussian Processes.

Marcus Michael Noack, Hengrui Luo, Mark D. Risser

CoRR, 2023

2022

Exact Gaussian Processes for Massive Datasets via Non-Stationary Sparsity-Discovering Kernels.

Marcus Michael Noack, Harinarayan Krishnan, Mark D. Risser, Kristofer G. Reyes

CoRR, 2022