Herilalaina Rakotoarison

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 9

Top Topics

Efficient Optimization

Feature Hierarchies

Top Venues

IEEE Trans. Evol. Comput.

Publications

Herilalaina Rakotoarison, Steven Adriaensen, Neeratyoy Mallik, Samir Garibov, Edward Bergman, Frank Hutter
In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization. CoRR (2024)
Steven Adriaensen, Herilalaina Rakotoarison, Samuel Müller, Frank Hutter
Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks. CoRR (2023)
Steven Adriaensen, Herilalaina Rakotoarison, Samuel Müller, Frank Hutter
Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks. NeurIPS (2023)
Laurent Meunier, Herilalaina Rakotoarison, Pak-Kan Wong, Baptiste Rozière, Jérémy Rapin, Olivier Teytaud, Antoine Moreau, Carola Doerr
Black-Box Optimization Revisited: Improving Algorithm Selection Wizards Through Massive Benchmarking. IEEE Trans. Evol. Comput. 26 (3) (2022)
Herilalaina Rakotoarison, Louisot Milijaona, Andry Rasoanaivo, Michèle Sebag, Marc Schoenauer
Learning meta-features for AutoML. ICLR (2022)
Laurent Meunier, Herilalaina Rakotoarison, Pak-Kan Wong, Baptiste Rozière, Jérémy Rapin, Olivier Teytaud, Antoine Moreau, Carola Doerr
Black-Box Optimization Revisited: Improving Algorithm Selection Wizards through Massive Benchmarking. CoRR (2020)
Gwendoline de Bie, Herilalaina Rakotoarison, Gabriel Peyré, Michèle Sebag
Distribution-Based Invariant Deep Networks for Learning Meta-Features. CoRR (2020)
Herilalaina Rakotoarison, Marc Schoenauer, Michèle Sebag
Automated Machine Learning with Monte-Carlo Tree Search (Extended Version). CoRR (2019)
Herilalaina Rakotoarison, Marc Schoenauer, Michèle Sebag
Automated Machine Learning with Monte-Carlo Tree Search. IJCAI (2019)