Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic Approach.
Heshan FernandoHan ShenMiao LiuSubhajit ChaudhuryKeerthiram MurugesanTianyi ChenPublished in: CoRR (2022)
Keyphrases
- multi objective
- learning process
- provably convergent
- learning algorithm
- supervised learning
- learning systems
- learning problems
- optimization algorithm
- learning automata
- evolutionary algorithm
- prior knowledge
- reinforcement learning
- hidden markov models
- particle swarm optimization
- multi objective optimization
- inductive inference
- neural network