Filstroff, Louis

9 publications

UAI 2024 Learning Relevant Contextual Variables Within Bayesian Optimization Julien Martinelli, Ayush Bharti, Armi Tiihonen, S. T. John, Louis Filstroff, Sabina J. Sloman, Patrick Rinke, Samuel Kaski

TMLR 2024 Targeted Active Learning for Bayesian Decision-Making Louis Filstroff, Iiris Sundin, Petrus Mikkola, Aleksei Tiulpin, Juuso Kylmäoja, Samuel Kaski

ICMLW 2023 Augmenting Bayesian Optimization with Preference-Based Expert Feedback Daolang Huang, Louis Filstroff, Petrus Mikkola, Runkai Zheng, Milica Todorovic, Samuel Kaski

NeurIPSW 2023 Learning Relevant Contextual Variables Within Bayesian Optimization Julien Martinelli, Ayush Bharti, Armi Tiihonen, Louis Filstroff, S. T. John, Sabina J. Sloman, Patrick Rinke, Samuel Kaski

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

ICML 2022 Approximate Bayesian Computation with Domain Expert in the Loop Ayush Bharti, Louis Filstroff, Samuel Kaski

NeurIPSW 2022 More Trustworthy Bayesian Optimization of Materials Properties by Adding Human into the Loop Armi Tiihonen, Louis Filstroff, Petrus Mikkola, Emma Lehto, Samuel Kaski, Milica Todorović, Patrick Rinke

ECML-PKDD 2019 A Ranking Model Motivated by Nonnegative Matrix Factorization with Applications to Tennis Tournaments Rui Xia, Vincent Y. F. Tan, Louis Filstroff, Cédric Févotte

ICML 2018 Closed-Form Marginal Likelihood in Gamma-Poisson Matrix Factorization Louis Filstroff, Alberto Lumbreras, Cédric Févotte