Louis Filstroff

19 papers A* 2A 2C 1Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2024 A conf
Learning relevant contextual variables within Bayesian optimization.
UAI
Julien Martinelli, Ayush Bharti, Armi Tiihonen, S. T. John, Louis Filstroff, Sabina J. Sloman, Patrick Rinke, Samuel Kaski
2024 J jnl
Targeted Active Learning for Bayesian Decision-Making.
Trans. Mach. Learn. Res.
Louis Filstroff, Iiris Sundin, Petrus Mikkola, Aleksei Tiulpin, Juuso Kylmäoja, Samuel Kaski
2023 J jnl
Cost-aware learning of relevant contextual variables within Bayesian optimization.
CoRR
Julien Martinelli, Ayush Bharti, S. T. John, Armi Tiihonen, Sabina Sloman, Louis Filstroff, Samuel Kaski
2023 A conf
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources.
AISTATS
Petrus Mikkola, Julien Martinelli, Louis Filstroff, Samuel Kaski
2022 A* conf
Approximate Bayesian Computation with Domain Expert in the Loop.
ICML
Ayush Bharti, Louis Filstroff, Samuel Kaski
2022 J jnl
Approximate Bayesian Computation with Domain Expert in the Loop.
CoRR
Ayush Bharti, Louis Filstroff, Samuel Kaski
2022 J jnl
Bayesian Optimization Augmented with Actively Elicited Expert Knowledge.
CoRR
Daolang Huang, Louis Filstroff, Petrus Mikkola, Runkai Zheng, Samuel Kaski
2022 J jnl
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources.
CoRR
Petrus Mikkola, Julien Martinelli, Louis Filstroff, Samuel Kaski
2021 J jnl
A Comparative Study of Gamma Markov Chains for Temporal Non-Negative Matrix Factorization.
IEEE Trans. Signal Process.
Louis Filstroff, Olivier Gouvert, Cédric Févotte, Olivier Cappé
2021 J jnl
Targeted Active Learning for Bayesian Decision-Making.
CoRR
Louis Filstroff, Iiris Sundin, Petrus Mikkola, Aleksei Tiulpin, Juuso Kylmäoja, Samuel Kaski
2020 J jnl
A Comparative Study of Temporal Non-Negative Matrix Factorization with Gamma Markov Chains.
CoRR
Louis Filstroff, Olivier Gouvert, Cédric Févotte, Olivier Cappé
2020 J jnl
Bayesian mean-parameterized nonnegative binary matrix factorization.
Data Min. Knowl. Discov.
Alberto Lumbreras, Louis Filstroff, Cédric Févotte
2019 — conf
A Ranking Model Motivated by Nonnegative Matrix Factorization with Applications to Tennis Tournaments.
ECML/PKDD (3)
Rui Xia, Vincent Y. F. Tan, Louis Filstroff, Cédric Févotte
2019 J jnl
A Ranking Model Motivated by Nonnegative Matrix Factorization with Applications to Tennis Tournaments.
CoRR
Rui Xia, Vincent Y. F. Tan, Louis Filstroff, Cédric Févotte
2019 — —
Contributions to probabilistic non-negative matrix factorization - Maximum marginal likelihood estimation and Markovian temporal models. (Contributions à la factorisation en matrices non-négatives probabiliste - Estimation par maximum de vraisemblance marginale et modèles markoviens temporels).
Louis Filstroff
2018 C conf
An Empirical Study of Steganography and Steganalysis of Color Images in the JPEG Domain.
IWDW
Théo Taburet, Louis Filstroff, Patrick Bas, Wadih Sawaya
2018 J jnl
Bayesian Mean-parameterized Nonnegative Binary Matrix Factorization.
CoRR
Alberto Lumbreras, Louis Filstroff, Cédric Févotte
2018 A* conf
Closed-form Marginal Likelihood in Gamma-Poisson Matrix Factorization.
ICML
Louis Filstroff, Alberto Lumbreras, Cédric Févotte
2018 J jnl
Closed-form marginal likelihood in Gamma-Poisson factorization.
CoRR
Louis Filstroff, Alberto Lumbreras, Cédric Févotte