Jean Baptiste Faddoul

According to our database, Jean Baptiste Faddoul authored at least 11 papers between 2010 and 2024.

Collaborative distances:

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

2024

Efficient Pointwise-Pairwise Learning-to-Rank for News Recommendation.

Nithish Kannen, Yao Ma, Gerrit J. J. van den Burg, Jean Baptiste Faddoul

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2022

Automatic Termination for Hyperparameter Optimization.

Anastasia Makarova, Huibin Shen, Valerio Perrone, Aaron Klein, Jean Baptiste Faddoul, Andreas Krause, Matthias W. Seeger, Cédric Archambeau

Proceedings of the International Conference on Automated Machine Learning, 2022

2021

Overfitting in Bayesian Optimization: an empirical study and early-stopping solution.

Anastasia Makarova, Huibin Shen, Valerio Perrone, Aaron Klein, Jean Baptiste Faddoul, Andreas Krause, Matthias W. Seeger, Cédric Archambeau

CoRR, 2021

Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization.

Valerio Perrone, Huibin Shen, Aida Zolic, Iaroslav Shcherbatyi, Amr Ahmed, Tanya Bansal, Michele Donini, Fela Winkelmolen, Rodolphe Jenatton, Jean Baptiste Faddoul, Barbara Pogorzelska, Miroslav Miladinovic, Krishnaram Kenthapadi, Matthias W. Seeger, Cédric Archambeau

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Amazon SageMaker Automatic Model Tuning: Scalable Black-box Optimization.

Valerio Perrone, Huibin Shen, Aida Zolic, Iaroslav Shcherbatyi, Amr Ahmed, Tanya Bansal, Michele Donini, Fela Winkelmolen, Rodolphe Jenatton, Jean Baptiste Faddoul, Barbara Pogorzelska, Miroslav Miladinovic, Krishnaram Kenthapadi, Matthias W. Seeger, Cédric Archambeau

CoRR, 2020

Amazon SageMaker Autopilot: a white box AutoML solution at scale.

Piali Das, Valerio Perrone, Nikita Ivkin, Tanya Bansal, Zohar S. Karnin, Huibin Shen, Iaroslav Shcherbatyi, Yotam Elor, Wilton Wu, Aida Zolic, Thibaut Liénart, Alex Tang, Amr Ahmed, Jean Baptiste Faddoul, Rodolphe Jenatton, Fela Winkelmolen, Philip Gautier, Leo Dirac, Andre Perunicic, Miroslav Miladinovic, Giovanni Zappella, Cédric Archambeau, Matthias W. Seeger, Bhaskar Dutt, Laurence Rouesnel

CoRR, 2020

2018

Chargrid: Towards Understanding 2D Documents.

Anoop R. Katti, Christian Reisswig, Cordula Guder, Sebastian Brarda, Steffen Bickel, Johannes Höhne, Jean Baptiste Faddoul

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2012

Méthodes d'ensembles pour l'apprentissage multi-tâche avec des tâches hétérogènes et sans restrictions. (Ensemble Methods to Learn Multiple Heterogenous Tasks without Restrictions).

Jean Baptiste Faddoul

PhD thesis, 2012

Learning Multiple Tasks with Boosted Decision Trees.

Jean Baptiste Faddoul, Boris Chidlovskii, Rémi Gilleron, Fabien Torre

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

2010

Boosting Multi-Task Weak Learners with Applications to Textual and Social Data.

Jean Baptiste Faddoul, Boris Chidlovskii, Fabien Torre, Rémi Gilleron

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Applying Markov logic to document annotation, citation deduplication.

Jean Baptiste Faddoul, Boris Chidlovskii

Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010