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Louis Filstroff
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2020 – today
- 2024
- [j3]Louis Filstroff, Iiris Sundin, Petrus Mikkola, Aleksei Tiulpin, Juuso Kylmäoja, Samuel Kaski:
Targeted Active Learning for Bayesian Decision-Making. Trans. Mach. Learn. Res. 2024 (2024) - 2023
- [c5]Petrus Mikkola, Julien Martinelli, Louis Filstroff, Samuel Kaski:
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources. AISTATS 2023: 7425-7454 - [i9]Julien Martinelli, Ayush Bharti, S. T. John, Armi Tiihonen, Sabina Sloman, Louis Filstroff, Samuel Kaski:
Cost-aware learning of relevant contextual variables within Bayesian optimization. CoRR abs/2305.14120 (2023) - 2022
- [c4]Ayush Bharti, Louis Filstroff, Samuel Kaski:
Approximate Bayesian Computation with Domain Expert in the Loop. ICML 2022: 1893-1905 - [i8]Ayush Bharti, Louis Filstroff, Samuel Kaski:
Approximate Bayesian Computation with Domain Expert in the Loop. CoRR abs/2201.12090 (2022) - [i7]Daolang Huang, Louis Filstroff, Petrus Mikkola, Runkai Zheng, Samuel Kaski:
Bayesian Optimization Augmented with Actively Elicited Expert Knowledge. CoRR abs/2208.08742 (2022) - [i6]Petrus Mikkola, Julien Martinelli, Louis Filstroff, Samuel Kaski:
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources. CoRR abs/2210.13937 (2022) - 2021
- [j2]Louis Filstroff
, Olivier Gouvert
A Comparative Study of Gamma Markov Chains for Temporal Non-Negative Matrix Factorization. IEEE Trans. Signal Process. 69: 1614-1626 (2021) - [i5]Louis Filstroff, Iiris Sundin, Petrus Mikkola, Aleksei Tiulpin, Juuso Kylmäoja, Samuel Kaski:
Targeted Active Learning for Bayesian Decision-Making. CoRR abs/2106.04193 (2021) - 2020
- [j1]Alberto Lumbreras
Bayesian mean-parameterized nonnegative binary matrix factorization. Data Min. Knowl. Discov. 34(6): 1898-1935 (2020) - [i4]Louis Filstroff, Olivier Gouvert, Cédric Févotte, Olivier Cappé:
A Comparative Study of Temporal Non-Negative Matrix Factorization with Gamma Markov Chains. CoRR abs/2006.12843 (2020)
2010 – 2019
- 2019
- [b1]Louis Filstroff:
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). National Polytechnic Institute of Toulouse, France, 2019 - [c3]Rui Xia, Vincent Y. F. Tan, Louis Filstroff, Cédric Févotte:
A Ranking Model Motivated by Nonnegative Matrix Factorization with Applications to Tennis Tournaments. ECML/PKDD (3) 2019: 187-203 - [i3]Rui Xia, Vincent Y. F. Tan, Louis Filstroff, Cédric Févotte:
A Ranking Model Motivated by Nonnegative Matrix Factorization with Applications to Tennis Tournaments. CoRR abs/1903.06500 (2019) - 2018
- [c2]Louis Filstroff, Alberto Lumbreras, Cédric Févotte:
Closed-form Marginal Likelihood in Gamma-Poisson Matrix Factorization. ICML 2018: 1505-1513 - [c1]Théo Taburet, Louis Filstroff, Patrick Bas, Wadih Sawaya:
An Empirical Study of Steganography and Steganalysis of Color Images in the JPEG Domain. IWDW 2018: 290-303 - [i2]Louis Filstroff, Alberto Lumbreras, Cédric Févotte:
Closed-form marginal likelihood in Gamma-Poisson factorization. CoRR abs/1801.01799 (2018) - [i1]Alberto Lumbreras, Louis Filstroff, Cédric Févotte:
Bayesian Mean-parameterized Nonnegative Binary Matrix Factorization. CoRR abs/1812.06866 (2018)
Coauthor Index
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