Momentum Accelerates the Convergence of Stochastic AUPRC Maximization.
Guanghui WangMing YangLijun ZhangTianbao YangPublished in: AISTATS (2022)
Keyphrases
- stochastic approximation
- learning rate
- convergence rate
- monte carlo
- rapid convergence
- learning automata
- stochastic optimization
- convergence speed
- stochastic processes
- global convergence
- iterative algorithms
- convergence theorem
- convergence property
- budget constraints
- faster convergence
- database
- special case
- artificial neural networks
- objective function
- computer vision