Accepted

Mikkola, P., Acerbi, L, Klami, A. (2024). Preferential Normalizing Flows. 38th Conference on Neural Information Processing Systems. NeurIPS’24. Preprint, Code.

Publications

Mikkola, P., Todorović, M., Järvi, J., Rinke, P., Kaski, S. (2020). Projective Preferential Bayesian Optimization. In Proceedings of the 37th International Conference on Machine Learning - Volume 119. ICML’20. Proceedings, Preprint, Code.

Mikkola, P., Martinelli, J., Filstroff, L., Kaski, S. (2023). Multi-Fidelity Bayesian Optimization with Unreliable Information Sources. In Proceedings of the 26th International Conference on Artificial Intelligence and Statistics - Volume 206. AISTATS’23. Proceedings, Preprint, Code.

Mikkola, P., Martin, O. A., Chandramouli, S., Hartmann, M., Abril Pla, O., Thomas, O., Pesonen, P., Corander, J., Vehtari, A., Kaski, S., Bürkner, P-C., Klami, A. (2023). Prior knowledge elicitation: The past, present, and future. Bayesian Analysis. Advance publication, Preprint.

Khoshvishkaie, A., Mikkola, P., Murena, P-A. Kaski, S. (2023). Cooperative Bayesian optimization for imperfect agents. Machine Learning and Knowledge Discovery in Databases. Research Track: European Conference, ECML PKDD 2023. Proceedings.

Filstroff, L., Sundin, I., Mikkola, P., Tiulpin, A., Kylmäoja, J., Kaski, S. (2024). Targeted Active Learning for Bayesian Decision-Making. Transactions on Machine Learning Research. Paper.

Workshops

Tiihonen, A., Filstroff, L., Mikkola, P., Lehto, E., Kaski, S., Todorović, M., Rinke, P. (2022). More trustworthy Bayesian optimization of materials properties by adding human into the loop. NeurIPS 2022 Workshop AI4Mat. Workshop.

Huang, D., Filstroff, L., Mikkola, P., Zheng, R., Kaski, S. (2023). Augmenting Bayesian Optimization with Preference-based Expert Feedback. ICML 2023 Workshop “The Many Facets of Preference-Based Learning”. Workshop, Preprint.