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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