Herilalaina Rakotoarison

According to our database, Herilalaina Rakotoarison authored at least 7 papers between 2019 and 2023.

Collaborative distances:

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

2023

Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks.

Steven Adriaensen, Herilalaina Rakotoarison, Samuel Müller, Frank Hutter

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Some contributions to AutoML: hyper-parameter optimization and meta-learning. (Contributions à AutoML: optimisation des hyper-paramètres et méta-apprentissage).

Herilalaina Rakotoarison

PhD thesis, 2022

Black-Box Optimization Revisited: Improving Algorithm Selection Wizards Through Massive Benchmarking.

Laurent Meunier, Herilalaina Rakotoarison, Pak-Kan Wong, Baptiste Rozière, Jérémy Rapin, Olivier Teytaud, Antoine Moreau, Carola Doerr

IEEE Trans. Evol. Comput., 2022

Learning meta-features for AutoML.

Herilalaina Rakotoarison, Louisot Milijaona, Andry Rasoanaivo, Michèle Sebag, Marc Schoenauer

Proceedings of the Tenth International Conference on Learning Representations, 2022

2020

Distribution-Based Invariant Deep Networks for Learning Meta-Features.

Gwendoline de Bie, Herilalaina Rakotoarison, Gabriel Peyré, Michèle Sebag

CoRR, 2020

2019

Automated Machine Learning with Monte-Carlo Tree Search (Extended Version).

Herilalaina Rakotoarison, Marc Schoenauer, Michèle Sebag

CoRR, 2019

Automated Machine Learning with Monte-Carlo Tree Search.

Herilalaina Rakotoarison, Marc Schoenauer, Michèle Sebag

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019