Richard Cornelius Suwandi

According to our database, Richard Cornelius Suwandi authored at least 5 papers between 2021 and 2025.

Collaborative distances:

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

2025

Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs.

Richard Cornelius Suwandi, Feng Yin, Juntao Wang, Renjie Li, Tsung-Hui Chang, Sergios Theodoridis

CoRR, September, 2025

Sparsity-Aware Distributed Learning for Gaussian Processes With Linear Multiple Kernel.

Richard Cornelius Suwandi, Zhidi Lin, Feng Yin, Zhiguo Wang, Sergios Theodoridis

IEEE Trans. Neural Networks Learn. Syst., August, 2025

2023

Gaussian Processes with Linear Multiple Kernel: Spectrum Design and Distributed Learning for Multi-Dimensional Data.

Richard Cornelius Suwandi, Zhidi Lin, Feng Yin

CoRR, 2023

2022

Gaussian Process Regression with Grid Spectral Mixture Kernel: Distributed Learning for Multidimensional Data.

Richard Cornelius Suwandi, Zhidi Lin, Yiyong Sun, Zhiguo Wang, Lei Cheng, Feng Yin

Proceedings of the 25th International Conference on Information Fusion, 2022

2021

Demystifying Model Averaging for Communication-Efficient Federated Matrix Factorization.

Shuai Wang, Richard Cornelius Suwandi, Tsung-Hui Chang

Proceedings of the IEEE International Conference on Acoustics, 2021