| Good practices for Bayesian optimization of high dimensional structured spaces E Siivola, A Paleyes, J González, A Vehtari Applied AI Letters 2 (2), e24, 2021 | 29 | 2021 |
| Active learning for decision-making from imbalanced observational data I Sundin, P Schulam, E Siivola, A Vehtari, S Saria, S Kaski International conference on machine learning, 6046-6055, 2019 | 25 | 2019 |
| Preferential batch Bayesian optimization E Siivola, AK Dhaka, MR Andersen, J González, PG Moreno, A Vehtari 2021 IEEE 31st International Workshop on Machine Learning for Signal …, 2021 | 20 | 2021 |
| Correcting boundary over-exploration deficiencies in Bayesian optimization with virtual derivative sign observations E Siivola, A Vehtari, J Vanhatalo, J González, MR Andersen 2018 IEEE 28th International Workshop on Machine Learning for Signal …, 2018 | 20 | 2018 |
| Bayesian optimization of unimodal functions MR Andersen, E Siivola, A Vehtari NIPS workshop on Bayesian optimization, 2017 | 14 | 2017 |
| Handbook for a Data-Driven Circular Economy in Finland: Data Sources, Tools, and Governance for Circular Design A Berg, H Dahlbo, P Eilu, P Heikkilä, A Hentunen, K Hilska-Keinänen, ... VTT Technical Research Centre of Finland, 2022 | 7 | 2022 |
| Automatic monotonicity detection for gaussian processes E Siivola, J Piironen, A Vehtari arXiv preprint arXiv:1610.05440, 2016 | 6 | 2016 |
| Alarm prediction in LTE networks S Holmbacka, J Niemelä, H Karikallio, K Sunila, I Raiskinen, E Siivola, ... 2018 25th International Conference on Telecommunications (ICT), 341-345, 2018 | 5 | 2018 |
| A non-parametric probabilistic model for monotonic functions.“ MR Andersen, E Siivola, G Riutort-Mayol, A Vehtari All Of Bayesian Nonparametrics” Workshop at NeurIPS, 2018 | 5 | 2018 |
| Qualifying drug dosing regimens in pediatrics using Gaussian processes E Siivola, S Weber, A Vehtari Statistics in Medicine 40 (10), 2355-2372, 2021 | 4 | 2021 |
| Bayesian optimization with virtual derivative sign observations E Siivola, A Vehtari, J Vanhatalo, J González arXiv preprint arXiv:1704.00963, 2017 | 4 | 2017 |
| Requirement verification in simulation-based automation testing E Siivola, S Sierla, H Niemistö, T Karhela, V Vyatkin 2016 IEEE 14th International Conference on Industrial Informatics (INDIN …, 2016 | 4 | 2016 |
| Using counterfactual queries to improve models for decision-support I Sundin, P Schulam, E Siivola, A Vehtari, S Saria, S Kaski ICML/IJCAI/AAMAS Workshop on Machine Learning for Causal Inference …, 2018 | 1 | 2018 |
| Applications of human feedback in Gaussian processes E Siivola Aalto University, 2021 | | 2021 |
| Active Learning for Improving Decision-Making from Imbalanced Data I Sundin, P Schulam, E Siivola, A Vehtari, S Saria, S Kaski | | 2019 |
| Advances in using GPs with derivative observations E Siivola, JV González, OP Koistinen | | 2017 |
| Virtuaalimittaukset mineraalirikastuksessa E Siivola | | 2014 |
| Supplementary Material of Active Learning for Decision-Making from Imbalanced Observational Data I Sundin, P Schulam, E Siivola, A Vehtari, S Saria, S Kaski | | |
