Optimization Strategies in Multi-Task Learning: Averaged or Separated Losses?
Lucas PascalPietro MichiardiXavier BostBenoit HuetMaria A. ZuluagaPublished in: CoRR (2021)
Keyphrases
- optimization strategies
- multi task learning
- multi task
- learning tasks
- gaussian processes
- learning problems
- high order
- theoretical analysis
- transfer learning
- optimization methods
- learning algorithm
- inductive learning
- data mining
- genetic algorithm
- learning models
- data sets
- database systems
- kernel methods
- feature space
- multiple kernel learning
- transformation rules
- support vector