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Conference and Workshop Papers
- 2022
[c6]ChangYong Oh, Roberto Bondesan, Efstratios Gavves, Max Welling:
Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel. NeurIPS 2022- 2021
- [c5]ChangYong Oh, Efstratios Gavves, Max Welling:
Mixed variable Bayesian optimization with frequency modulated kernels. UAI 2021: 950-960 - 2020
- [c4]ChangYong Oh, Kamil Adamczewski, Mijung Park:
Radial and Directional Posteriors for Bayesian Deep Learning. AAAI 2020: 5298-5305 - [c3]Shuai Liao, Efstratios Gavves, ChangYong Oh, Cees G. M. Snoek:
Quasibinary Classifier for Images with Zero and Multiple Labels. ICPR 2020: 8743-8750 - 2019
- [c2]ChangYong Oh, Jakub M. Tomczak, Efstratios Gavves, Max Welling:
Combinatorial Bayesian Optimization using the Graph Cartesian Product. NeurIPS 2019: 2910-2920 - 2018
- [c1]ChangYong Oh, Efstratios Gavves, Max Welling:
BOCK : Bayesian Optimization with Cylindrical Kernels. ICML 2018: 3865-3874
Informal and Other Publications
- 2022
- [i6]ChangYong Oh, Roberto Bondesan, Dana Kianfar, Rehan Ahmed, Rishubh Khurana, Payal Agarwal, Romain Lepert, Mysore Sriram, Max Welling:
Bayesian Optimization for Macro Placement. CoRR abs/2207.08398 (2022) - 2021
- [i5]ChangYong Oh, Efstratios Gavves, Max Welling:
Mixed Variable Bayesian Optimization with Frequency Modulated Kernels. CoRR abs/2102.12792 (2021) - [i4]ChangYong Oh, Roberto Bondesan, Efstratios Gavves, Max Welling:
Batch Bayesian Optimization on Permutations using Acquisition Weighted Kernels. CoRR abs/2102.13382 (2021) - 2019
- [i3]ChangYong Oh, Jakub M. Tomczak, Efstratios Gavves, Max Welling:
Combinatorial Bayesian Optimization using Graph Representations. CoRR abs/1902.00448 (2019) - [i2]ChangYong Oh, Kamil Adamczewski, Mijung Park:
Radial and Directional Posteriors for Bayesian Neural Networks. CoRR abs/1902.02603 (2019) - 2018
- [i1]ChangYong Oh, Efstratios Gavves, Max Welling:
BOCK : Bayesian Optimization with Cylindrical Kernels. CoRR abs/1806.01619 (2018)
Coauthor Index
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