Louis Filstroff

According to our database, Louis Filstroff authored at least 13 papers between 2018 and 2023.

Collaborative distances:

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

2023

Cost-aware learning of relevant contextual variables within Bayesian optimization.

Julien Martinelli, Ayush Bharti, S. T. John, Armi Tiihonen, Sabina Sloman, Louis Filstroff, Samuel Kaski

CoRR, 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

Approximate Bayesian Computation with Domain Expert in the Loop.

Ayush Bharti, Louis Filstroff, Samuel Kaski

Proceedings of the International Conference on Machine Learning, 2022

2021

A Comparative Study of Gamma Markov Chains for Temporal Non-Negative Matrix Factorization.

Louis Filstroff, Olivier Gouvert, Cédric Févotte, Olivier Cappé

IEEE Trans. Signal Process., 2021

Targeted Active Learning for Bayesian Decision-Making.

Louis Filstroff, Iiris Sundin, Petrus Mikkola, Aleksei Tiulpin, Juuso Kylmäoja, Samuel Kaski

CoRR, 2021

2020

Bayesian mean-parameterized nonnegative binary matrix factorization.

Alberto Lumbreras, Louis Filstroff, Cédric Févotte

Data Min. Knowl. Discov., 2020

A Comparative Study of Temporal Non-Negative Matrix Factorization with Gamma Markov Chains.

Louis Filstroff, Olivier Gouvert, Cédric Févotte, Olivier Cappé

CoRR, 2020

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

PhD thesis, 2019

A Ranking Model Motivated by Nonnegative Matrix Factorization with Applications to Tennis Tournaments.

Rui Xia, Vincent Y. F. Tan, Louis Filstroff, Cédric Févotte

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018

Closed-form marginal likelihood in Gamma-Poisson factorization.

Louis Filstroff, Alberto Lumbreras, Cédric Févotte

CoRR, 2018

An Empirical Study of Steganography and Steganalysis of Color Images in the JPEG Domain.

Théo Taburet, Louis Filstroff, Patrick Bas, Wadih Sawaya

Proceedings of the Digital Forensics and Watermarking - 17th International Workshop, 2018

Closed-form Marginal Likelihood in Gamma-Poisson Matrix Factorization.

Louis Filstroff, Alberto Lumbreras, Cédric Févotte

Proceedings of the 35th International Conference on Machine Learning, 2018