Center for Advanced Intelligence Project

Update: February 1, 2022

7 papers have been accepted at AISTATS 2022, a major conference on machine learning. (As of February 1, 2022)

[Accepted Papers]

• Convex Analysis of the Mean Field Langevin Dynamics
  Atsushi Nitanda (Kyushu Institute of Technology / RIKEN AIP / JST PRESTO)
  Denny Wu+ (University of Toronto / Vector Institute for Artificial Intelligence)
  Taiji Suzuki (The University of Tokyo / RIKEN AIP)
• Feature Screening with Kernel Knockoff
  Benjamin Poignard (Osaka University/ RIKEN AIP)
  Peter Naylor (RIKEN AIP)
  Héctor Climente (RIKEN AIP)
  Makoto Yamada (Kyoto University/RIKEN AIP)
• Fixed Support Tree-Sliced Wasserstein Barycenter
  Yuki Takezawa (Kyoto University/RIKEN AIP)
  Ryoma Sato (Kyoto University/RIKEN AIP)
  Zornitsa Kozareva (Facebook AI Research)
  Sujith Ravi (SliceX AI)
  Makoto Yamada (Kyoto University/RIKEN AIP)
• Mode estimation on matrix manifolds: Convergence and robustness
  Hiroaki Sasaki (Future University Hakodate)
  Jun-ichiro Hirayama (AIST/RIKEN AIP)
  Takafumi Kanamori (Tokyo Institute of Technology/RIKEN AIP)
• One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic Normality and Limitation
  Hajime Ono (SOKENDAI)
  Kazuhiro Minami (ISM)
  Hideitsu Hino (ISM/RIKEN AIP)
• Pairwise supervision can provably elicit a decision boundary.
  Han Bao (The University of Tokyo / RIKEN)
  Takuya Shimada (The University of Tokyo / RIKEN)
  Liyuan Xu (Gatsby Computational Neuroscience Unit)
  Issei Sato (The University of Tokyo)
  Masashi Sugiyama (RIKEN/The University of Tokyo)
• Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics
  Tam Le (RIKEN AIP)
  Truyen Nguyen (Akron University)
  Dinh Phung (Monash University)
  Viet Anh Nguyen (VinAI)

+ Past interns of RIKEN AIP

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