ChangYong Oh

According to our database, ChangYong Oh authored at least 10 papers between 2018 and 2022.

Collaborative distances:

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

2022

Bayesian Optimization for Macro Placement.

ChangYong Oh, Roberto Bondesan, Dana Kianfar, Rehan Ahmed, Rishubh Khurana, Payal Agarwal, Romain Lepert, Mysore Sriram, Max Welling

CoRR, 2022

Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel.

ChangYong Oh, Roberto Bondesan, Efstratios Gavves, Max Welling

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Batch Bayesian Optimization on Permutations using Acquisition Weighted Kernels.

ChangYong Oh, Roberto Bondesan, Efstratios Gavves, Max Welling

CoRR, 2021

Mixed variable Bayesian optimization with frequency modulated kernels.

ChangYong Oh, Efstratios Gavves, Max Welling

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020

Quasibinary Classifier for Images with Zero and Multiple Labels.

Shuai Liao, Efstratios Gavves, ChangYong Oh, Cees G. M. Snoek

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Radial and Directional Posteriors for Bayesian Deep Learning.

ChangYong Oh, Kamil Adamczewski, Mijung Park

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Radial and Directional Posteriors for Bayesian Neural Networks.

ChangYong Oh, Kamil Adamczewski, Mijung Park

CoRR, 2019

Combinatorial Bayesian Optimization using Graph Representations.

ChangYong Oh, Jakub M. Tomczak, Efstratios Gavves, Max Welling

CoRR, 2019

Combinatorial Bayesian Optimization using the Graph Cartesian Product.

ChangYong Oh, Jakub M. Tomczak, Efstratios Gavves, Max Welling

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

BOCK : Bayesian Optimization with Cylindrical Kernels.

ChangYong Oh, Efstratios Gavves, Max Welling

Proceedings of the 35th International Conference on Machine Learning, 2018