Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization.
Anthony BardouPatrick ThiranThomas BeginPublished in: ICLR (2024)
Keyphrases
- high dimensional
- constrained optimization
- efficient optimization
- cooperative
- loss function
- optimization algorithm
- high dimensional data
- high dimensionality
- nearest neighbor
- low dimensional
- bayesian networks
- constraint satisfaction
- optimization problems
- maximum likelihood
- dimensionality reduction
- penalty function
- reinforcement learning
- expert advice
- optimization criteria
- decision variables
- linear constraints
- global constraints
- belief functions
- variable selection
- online learning