Minimizing Dynamic Regret and Adaptive Regret Simultaneously.
Lijun ZhangShiyin LuTianbao YangPublished in: AISTATS (2020)
Keyphrases
- online learning
- lower bound
- loss function
- expert advice
- confidence bounds
- worst case
- regret minimization
- dynamically adjust
- upper confidence bound
- learning algorithm
- minimax regret
- binary classification
- data driven
- upper bound
- dynamic programming
- artificial intelligence
- dynamic environments
- least squares
- dynamically changing
- regret bounds
- weighted majority
- multi agent systems
- bandit problems
- decision making
- real time