Shuhei Watanabe

5 papers · 2021–2024 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12) 📈 Trend Setter

Venues

IJCAI (3) AAAI (1) AutoML (1)

Top co-authors

Frank Hutter (4) Masaki Onishi (2) Yoshihiko Ozaki (1) Archit Bansal (1) Neeratyoy Mallik (1) Youhei Akimoto (1) Masahiro Nomura (1) Noor Awad (1) Edward Bergman (1)

Research topics

Machine Learning (5) Optimization & Theory (5) Application Areas (2) Artificial Intelligence (1) Mathematics & Optimization (1) Core AI (1) Core Methods (1) Learning Paradigms · Artificial Intelligence (1) Learning Paradigms · Machine Learning (1) Learning Types (1) Optimization (1)

Keywords

hyperparameter optimization (4) tree-structured parzen estimator (2) subspace analysis (1) knowledge transfer (1) bayesian optimization (1) multi-objective optimization (1) evolutionary algorithm (1) file system (1) pearson divergence (1) functional anovum (1) task similarity (1) hyperparameter importance (1) inequality constraint (1) speedups (1) asynchronous multi-fidelity optimization (1) parallel hpo (1) pip install (1) warm starting (1) zero-cost benchmarks (1) black-box optimization (1)

Papers

Fast Benchmarking of Asynchronous Multi-Fidelity Optimization on Zero-Cost Benchmarks AutoML 2024 c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization IJCAI 2023 PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in Arbitrary Subspaces IJCAI 2023 Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator IJCAI 2023 Warm Starting CMA-ES for Hyperparameter Optimization AAAI 2021