May 15, 2024 17:34

Three papers have been accepted at the Annual Conference on Learning Theory (COLT) 2024.

For more details, please refer to the link below.

[Website] https://learningtheory.org/colt2024/

  • COLT2024
    June 30–July 3, 2024 in Edmonton, Canada.
  • Adaptive Learning Rate for Follow-the-Regularized-Leader: Competitive Ratio Analysis and Best-of-Both-Worlds
    Shinji Ito (The University of Tokyo / RIKEN AIP)
    Taira Tsuchiya (The University of Tokyo / RIKEN AIP)
    Junya Honda (Kyoto University / RIKEN AIP)
  • Follow-the-Perturbed-Leader with Fr\'{e}chet-type Tail Distributions: Optimality in Adversarial Bandits and Best-of-Both-Worlds
    Jongyeong Lee (Seoul National University)
    Junya Honda (Kyoto University / RIKEN AIP)
    Shinji Ito (The University of Tokyo / RIKEN AIP)
    Min-hwan Oh (Seoul National University)
  • Learning sum of ridge functions: Efficient gradient-based training and computational hardness
    Kazusato Oko (The University of Tokyo / RIKEN AIP)
    Yujin Song (The University of Tokyo)
    Taiji Suzuki (The University of Tokyo / RIKEN AIP)
    Denny Wu (New York University / Flatiron Institute)
    *alphabetical order

Related Laboratories

last updated on May 20, 2024 09:55Laboratory
last updated on May 20, 2024 09:52Laboratory