Herilalaina Rakotoarison

4 papers · 2019–2024 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (10)

Venues

ICLR (1) ICML (1) IJCAI (1) NeurIPS (1)

Top co-authors

Steven Adriaensen (2) Frank Hutter (2) Marc Schoenauer (2) Michele Sebag (2) Samuel Müller (1) Samir Garibov (1) Neeratyoy Mallik (1) Louisot Milijaona (1) Andry RASOANAIVO (1) Eddie Bergman (1)

Research topics

Machine Learning (4) Optimization & Theory (4) Artificial Intelligence (3) Core AI (2) Deep Learning (1) Architectures (1) Learning Paradigms · Machine Learning (1) Learning Paradigms · Artificial Intelligence (1) Learning Types (1)

Keywords

bayesian optimization (2) hyperparameter optimization (2) automated machine learning (2) in-context learning (1) transformer (1) probabilistic matrix factorization (1) algorithm selection (1) monte carlo tree search (1) posterior predictive (1) surrogate model (1) learning curve (1) prior-data fitted network (1) meta feature learning (1) hyper-parameter configuration (1) model selection (1) freeze-thaw (1) bayesian inference (1) optimal transport (1)

Papers

In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization ICML 2024 Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks NeurIPS 2023 Learning meta-features for AutoML ICLR 2022 Automated Machine Learning with Monte-Carlo Tree Search IJCAI 2019