Skip to content
View nabenabe0928's full-sized avatar
48 followers · 5 following

Achievements

Achievement: YOLOAchievement: Pull Sharkx3Achievement: Pair Extraordinairex3Achievement: QuickdrawAchievement: StarstruckAchievement: Arctic Code Vault Contributor

Achievements

Achievement: YOLOAchievement: Pull Sharkx3Achievement: Pair Extraordinairex3Achievement: QuickdrawAchievement: StarstruckAchievement: Arctic Code Vault Contributor

Block or report nabenabe0928

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
nabenabe0928/README.md

Hi there 👋 I'm Shuhei Watanabe

I am a Research Engineer at Preferred Networks Inc. Prior to the company, I was studying at the University of Freiburg under the supervision of Prof. Frank Hutter. My specialization lies in Hyperparameter optimization and the interpretation of its results.

Website - GH Pages

Shuhei's GitHub stats

🎓 Recent Publications

➡️ All publications...

📫 Email: [email protected]

Pinned Loading

  1. tpe tpe Public

    The tree-structured Parzen estimator (TPE) implementation and the simple running code for it

    Python 59 4

  2. constrained-tpe constrained-tpe Public

    [IJCAI'23] c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization

    Jupyter Notebook 8 2

  3. local-anova local-anova Public

    [IJCAI'23] PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in Arbitrary Subspaces

    Python 7

  4. meta-learn-tpe meta-learn-tpe Public

    [IJCAI'23] Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator

    Jupyter Notebook 9 3

  5. mfhpo-simulator mfhpo-simulator Public

    [Python3] The simulator for multi-fidelity or parallel optimization using tabular or surrogate benchmarks

    Python 7

  6. empirical-attainment-func empirical-attainment-func Public

    [Python3] The visualization for multi-objective optimization based on empirical attainment function.

    Python 4 1