| BOCK: Bayesian optimization with cylindrical kernels C Oh, E Gavves, M Welling Proceedings of the 35th International Conference on Machine Learning, PMLR …, 2018 | 82 | 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 | 49 | 2019 |
| Combo: Combinatorial bayesian optimization using graph representations C Oh, J Tomczak, E Gavves, M Welling ICML Workshop on Learning and Reasoning with Graph-Structured Data, 2019 | 13 | 2019 |
| Radial and directional posteriors for bayesian neural networks C Oh, K Adamczewski, M Park arXiv preprint arXiv:1902.02603, 2019 | 11 | 2019 |
| Mixed variable Bayesian optimization with frequency modulated kernels C Oh, E Gavves, M Welling Uncertainty in Artificial Intelligence, 950-960, 2021 | 2 | 2021 |
| 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 | 2 | 2020 |
| Batch Bayesian Optimization on Permutations using Acquisition Weighted Kernels C Oh, R Bondesan, E Gavves, M Welling arXiv preprint arXiv:2102.13382, 2021 | | 2021 |
| Combinatorial bayesian optimization using a graph cartesian product C Oh, E Gavves, JM Tomczak, M Welling US Patent App. 16/945,625, 2021 | | 2021 |
| 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 |
Efstratios GavvesAssociate Professor at University of AmsterdamVerified email at uva.nl
