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
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