BOCK : Bayesian Optimization with Cylindrical Kernels. - ChangYong Oh; Efstratios Gavves; Max Welling (ICML, 2018)

Combinatorial Bayesian Optimization using the Graph Cartesian Product. - ChangYong Oh; Jakub M. Tomczak; Efstratios Gavves; Max Welling (NeurIPS, 2019)

Combinatorial Bayesian Optimization using Graph Representations. - ChangYong Oh; Jakub M. Tomczak; Efstratios Gavves; Max Welling (CoRR, 2019)

Radial and Directional Posteriors for Bayesian Neural Networks. - ChangYong Oh; Kamil Adamczewski; Mijung Park (CoRR, 2019)

Radial and Directional Posteriors for Bayesian Deep Learning. - ChangYong Oh; Kamil Adamczewski; Mijung Park (AAAI, 2020)

Quasibinary Classifier for Images with Zero and Multiple Labels. - Shuai Liao; Efstratios Gavves; ChangYong Oh; Cees G. M. Snoek (ICPR, 2020)

Mixed variable Bayesian optimization with frequency modulated kernels. - ChangYong Oh; Efstratios Gavves; Max Welling (UAI, 2021)

Batch Bayesian Optimization on Permutations using Acquisition Weighted Kernels. - ChangYong Oh; Roberto Bondesan; Efstratios Gavves; Max Welling (CoRR, 2021)

Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel. - ChangYong Oh; Roberto Bondesan; Efstratios Gavves; Max Welling (NeurIPS, 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)