| BOCK: Bayesian optimization with cylindrical kernels C Oh, E Gavves, M Welling Proceedings of the 35th International Conference on Machine Learning, PMLR …, 2018 | 154 | 2018 |
| Combinatorial bayesian optimization using the graph cartesian product C Oh, J Tomczak, E Gavves, M Welling Advances in Neural Information Processing Systems 32, 2019 | 128* | 2019 |
| Radial and directional posteriors for bayesian deep learning C Oh, K Adamczewski, M Park Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5298-5305, 2020 | 21* | 2020 |
| Mixed variable Bayesian optimization with frequency modulated kernels C Oh, E Gavves, M Welling Uncertainty in Artificial Intelligence, 950-960, 2021 | 9 | 2021 |
| Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel C Oh, R Bondesan, E Gavves, M Welling Advances in Neural Information Processing Systems 35, 6843-6858, 2022 | 7 | 2022 |
| Bayesian Optimization for Macro Placement C Oh, R Bondesan, D Kianfar, R Ahmed, R Khurana, P Agarwal, R Lepert, ... ICML Workshop on Adaptive Experimental Design and Active Learning in the …, 2022 | 3 | 2022 |
| Combinatorial bayesian optimization using a graph cartesian product C Oh, E Gavves, JM Tomczak, M Welling US Patent App. 16/945,625, 2021 | 2* | 2021 |
| Batch Bayesian Optimization on Permutations using Acquisition Weighted Kernels R Bondesan, E Gavves, C Oh, M Welling 10San Diego, CANeural Information Processing Systems Foundation, 2023 | | 2023 |
| Quasibinary Classifier for Images with Zero and Multiple Labels S Liao, E Gavves, C Oh, CGM Snoek IEEE International Conference on Pattern Recognition, 2020 | | 2020 |
Max WellingCAIO CuspAI & Professor Machine Learning, University of AmsterdamVerified email at uva.nl
