Petrus Mikkola

According to our database, Petrus Mikkola authored at least 10 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Estimating expert prior knowledge from optimization trajectories.

Ville Tanskanen, Petrus Mikkola, Aras Erarslan, Arto Klami

Neurocomputing, 2025

Normalizing Flow Regression for Bayesian Inference with Offline Likelihood Evaluations.

Chengkun Li, Bobby Huggins, Petrus Mikkola, Luigi Acerbi

Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2025

2024

Humans as Information Sources in Bayesian Optimization ; Ihmiset tietolähteenä bayesiläisessä optimoinnissa.

Petrus Mikkola

PhD thesis, 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

Preferential Normalizing Flows.

Petrus Mikkola, Luigi Acerbi, Arto Klami

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Non-geodesically-convex optimization in the Wasserstein space.

Hoang Phuc Hau Luu, Hanlin Yu, Bernardo Williams, Petrus Mikkola, Marcelo Hartmann, Kai Puolamäki, Arto Klami

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Cooperative Bayesian Optimization for Imperfect Agents.

Ali Khoshvishkaie, Petrus Mikkola, Pierre-Alexandre Murena, Samuel Kaski

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Multi-Fidelity Bayesian Optimization with Unreliable Information Sources.

Petrus Mikkola, Julien Martinelli, Louis Filstroff, Samuel Kaski

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Bayesian Optimization Augmented with Actively Elicited Expert Knowledge.

Daolang Huang, Louis Filstroff, Petrus Mikkola, Runkai Zheng, Samuel Kaski

CoRR, 2022

2020

Projective Preferential Bayesian Optimization.

Petrus Mikkola, Milica Todorovic, Jari Järvi, Patrick Rinke, Samuel Kaski

Proceedings of the 37th International Conference on Machine Learning, 2020