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1908.11468
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Multi-Level Composite Stochastic Optimization via Nested Variance Reduction
SIAM Journal on Optimization (SIOPT), 2019
29 August 2019
Junyu Zhang
Lin Xiao
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Papers citing
"Multi-Level Composite Stochastic Optimization via Nested Variance Reduction"
34 / 34 papers shown
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Stochastic Nested Compositional Bi-level Optimization for Robust Feature Learning
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Learning Unnormalized Statistical Models via Compositional Optimization
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Decentralized Multi-Level Compositional Optimization Algorithms with Level-Independent Convergence Rate
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Stochastic Compositional Optimization with Compositional Constraints
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Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization
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Algorithmic Foundations of Empirical X-risk Minimization
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Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications
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Tianbao Yang
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Optimal Algorithms for Stochastic Multi-Level Compositional Optimization
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Luming Liang
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Communication-Efficient Sampling for Distributed Training of Graph Convolutional Networks
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Optimal Algorithms for Convex Nested Stochastic Composite Optimization
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Guanghui Lan
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Stochastic Multi-level Composition Optimization Algorithms with Level-Independent Convergence Rates
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Hybrid Variance-Reduced SGD Algorithms For Nonconvex-Concave Minimax Problems
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Deyi Liu
Lam M. Nguyen
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Momentum with Variance Reduction for Nonconvex Composition Optimization
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Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning
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Yifan Hu
Siqi Zhang
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Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization
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Nhan H. Pham
Lam M. Nguyen
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Stochastic Recursive Variance Reduction for Efficient Smooth Non-Convex Compositional Optimization
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