January 24, 2022 08:52

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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