Demo Data from EDBT 2026 / reviewers in the wild / expert
Yohei Kanzaki
dblp:399/8997
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0009-4054-8904ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Optimization for machine learning · 70% Planning, search and constraint satisfaction · 23% Probabilistic and Bayesian machine learning · 7% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Planning, search and constraint satisfaction
algorithm selection |
0.9 | 1 | 2025 | Bayesian Optimization for Simultaneous Selection of Machine Learning Algorithms and Hyperparameters on Shared Latent Space · KDD (2) 2025 |
Machine learning › Optimization for machine learning › model-based optimization
bayesian optimization |
0.9 | 1 | 2025 | Bayesian Optimization for Simultaneous Selection of Machine Learning Algorithms and Hyperparameters on Shared Latent Space · KDD (2) 2025 |
Machine learning › Optimization for machine learning › hyperparameter optimization
combined algorithm selection and hyperparameter optimization |
0.9 | 1 | 2025 | Bayesian Optimization for Simultaneous Selection of Machine Learning Algorithms and Hyperparameters on Shared Latent Space · KDD (2) 2025 |
Machine learning › Optimization for machine learning
hyperparameter optimization |
0.9 | 1 | 2025 | Bayesian Optimization for Simultaneous Selection of Machine Learning Algorithms and Hyperparameters on Shared Latent Space · KDD (2) 2025 |
Methods — techniques the papers use, named apart from their topics
latent space modeling · 0.9bayesian optimization · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Bayesian Optimization for Simultaneous Selection of Machine Learning Algorithms and Hyperparameters on Shared Latent Space
Kazuki Ishikawa 0003, Ryota Ozaki 0003, Yohei Kanzaki, Ichiro Takeuchi, Masayuki Karasuyama |
KDD (2) | 3 |