革新知能統合研究センター

機械学習のトップカンファレンスであるNeurIPS2018において、AIPセンターから12本の論文が採択されました。

[NeurIPS 2018] https://nips.cc/Conferences/2018/Schedule

• #1 Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks
  Yusuke Tsuzuku (The University of Tokyo)
  Issei Sato (The university of Tokyo/ RIKEN AIP)
  Masashi Sugiyama (RIKEN AIP/ The University of Tokyo)
• #2 Binary Classification from Positive-Confidence Data (spotlight)
  Takashi Ishida (University of Tokyo/ RIKEN AIP)
  Gang Niu (RIKEN AIP)
  Masashi Sugiyama (RIKEN AIP/ The University of Tokyo)
• #3 Uplift Modeling from Separate Labels
  Ikko Yamane (The University of Tokyo/ RIKEN AIP)
  Florian Yger (Université Paris-Dauphine)
  Jamal Atif (Université Paris-Dauphine)
  Masashi Sugiyama (RIKEN AIP/ The University of Tokyo)
• #4  Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces
  Motoya Ohnishi (Keio University/ KTH Royal Institute of Technology/ RIKEN AIP)
  Masahiro Yukawa (Keio University)
  Mikael Johansson (KTH Royal Institute of Technology)
  Masashi Sugiyama (RIKEN AIP/ The University of Tokyo)
• #5 Co-teaching: Robust Training Deep Neural Networks with Extremely Noisy Labels
  Bo Han (RIKEN AIP/ University of Technology Sydney)
  Quanming Yao (4Paradigm)
  Xingrui Yu (University of Technology Sydney)
  Gang Niu (RIKEN AIP)
  Miao Xu (RIKEN AIP)
  Weihua Hu (The University of Tokyo/ RIKEN AIP)
  Ivor Tsang (University of Technology Sydney)
  Masashi Sugiyama (RIKEN AIP/ The University of Tokyo)
• #6 Masking: A New Perspective of Noisy Supervision
  Bo Han (RIKEN AIP/ University of Technology Sydney)
  Jiangchao Yao (Cooperative Medianet Innovation Center/ Shang hai Jiao Tong University)
  Gang Niu (RIKEN AIP)
  Mingyuan Zhou (University of Texas at Austin)
  Ivor Tsang (University of Technology Sydney)
  Ya Zhang (Cooperative Medianet Innovation Center/ Shang hai Jiao Tong University)
  Masashi Sugiyama (RIKEN AIP/ The University of Tokyo)
• #7 Sample Efficient Stochastic Gradient Iterative Hard Thresholding Method for Stochastic Sparse Linear Regression with Limited Attribute Observation
  Tomoya Murata (NTT DATA Mathematical Systems Inc.)
  Taiji Suzuki (The University of Tokyo/ RIKEN AIP)
• #8 Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams.
  Tam Le (RIKEN AIP)
  Makoto Yamada (Kyoto University/ RIKEN AIP)
• #9　Metric on Nonlinear Dynamical Systems with Koopman Operators
  Isao Ishikawa (RIKEN AIP)
  Keisuke Fujii (RIKEN AIP)
  Masahiro Ikeda (RIKEN AIP)
  Yuka Hashimoto (Keio University)
  Yoshinobu Kawahara (Osaka University/ RIKEN AIP)
• #10　Regret Bounds for Online Portfolio Selection with a Cardinality Constraint
  Shinji Ito (NEC Corporation)
  Daisuke Hatano (RIKEN AIP)
  Sumita Hanna (Tokyo Metropolitan University)
  Akihiro Yabe (NEC Corporation)
  Takuro Fukunaga (RIKEN AIP/ JST PRESTO)
  Naonori Kakimura (Keio University)
  Ken-ichi Kawarabayashi (National Institute of Informatics)
• #11　Legendre Decomposition for Tensors
  Mahito Sugiyama (NII)
  Hiroyuki Nakahara (RIKEN CBS)
  Koji Tsuda (University of Tokyo/ RIKEN AIP)
• #12　SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient
  Aaron Mishkin (UBC)
  Frederik Kunstner (EPFL)
  Didrik Nielsen (RIKEN AIP)
  Mark Schmidt (UBC)
  Mohammad Emtiyaz Khan (RIKEN AIP)

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