Center for Advanced Intelligence Project

Seven papers have been accepted at AISTATS 2024, a major conference on machine learning.

[Accepted Papers]

• Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty
  Yu Inatsu (Nagoya Institute of Technology)
  Shion Takeno (RIKEN AIP)
  Hiroyuki Hanada (RIKEN AIP)
  Kazuki Iwata (Nagoya Institute of Technology)
  Ichiro Takeuchi (Nagoya University / RIKEN AIP)
• CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference
  Duy Vo Nguyen Le (University of Information Technology / Vietnam National University / RIKEN AIP)
  Hsuan-Tien Lin (National Taiwan University)
  Ichiro Takeuchi (Nagoya University / RIKEN AIP)
• Fixed-Budget Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit
  Shintaro Nakamura (University of Tokyo / RIKEN AIP)
  Masashi Sugiyama (RIKEN AIP / The University of Tokyo)
• Information-theoretic Analysis of Bayesian Test Data Sensitivity
  Futoshi Futami (Osaka University/ RIKEN AIP)
  Tomoharu Iwata (NTT)
• Optimal Transport for Measures with Noisy Tree Metric
  Tam Le (The Institute of Statistical Mathematics / RIKEN AIP)
  Truyen Nguyen (The University of Akron)
  Kenji Fukumizu (The Institute of Statistical Mathematics)
• Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum
  Shogo Iwazaki (MI-6 Ltd.)
  Tomohiko Tanabe (MI-6 Ltd.)
  Mitsuru Irie (MI-6 Ltd.)
  Shion Takeno (RIKEN AIP)
  Yu Inatsu (Nagoya Institute of Technology)
• VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates
  Guillaume Braun (RIKEN AIP)
  Masashi Sugiyama (RIKEN AIP / The University of Tokyo)

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