Projective Preferential Bayesian Optimization. - Petrus Mikkola; Milica Todorovic; Jari Järvi; Patrick Rinke; Samuel Kaski (ICML, 2020)

Bayesian Optimization Augmented with Actively Elicited Expert Knowledge. - Daolang Huang; Louis Filstroff; Petrus Mikkola; Runkai Zheng; Samuel Kaski (CoRR, 2022)

Multi-Fidelity Bayesian Optimization with Unreliable Information Sources. - Petrus Mikkola; Julien Martinelli; Louis Filstroff; Samuel Kaski (AISTATS, 2023)

Cooperative Bayesian Optimization for Imperfect Agents. - Ali Khoshvishkaie; Petrus Mikkola; Pierre-Alexandre Murena; Samuel Kaski (ECML/PKDD (1), 2023)

Non-geodesically-convex optimization in the Wasserstein space. - Hoang Phuc Hau Luu; Hanlin Yu; Bernardo Williams; Petrus Mikkola; Marcelo Hartmann; Kai Puolamäki; Arto Klami (NeurIPS, 2024)

Preferential Normalizing Flows. - Petrus Mikkola; Luigi Acerbi; Arto Klami (NeurIPS, 2024)

Targeted Active Learning for Bayesian Decision-Making. - Louis Filstroff; Iiris Sundin; Petrus Mikkola; Aleksei Tiulpin; Juuso Kylmäoja; Samuel Kaski (Trans. Mach. Learn. Res., 2024)

Humans as Information Sources in Bayesian Optimization ; Ihmiset tietolähteenä bayesiläisessä optimoinnissa. - Petrus Mikkola (2024)

Normalizing Flow Regression for Bayesian Inference with Offline Likelihood Evaluations. - Chengkun Li; Bobby Huggins; Petrus Mikkola; Luigi Acerbi (AABI, 2025)

Estimating expert prior knowledge from optimization trajectories. - Ville Tanskanen; Petrus Mikkola; Aras Erarslan; Arto Klami (Neurocomputing, 2025)