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Finite-sum composition optimization via variance reduced gradient descent
Xiangru Lian,
Mengdi Wang
, Ji Liu
Electrical and Computer Engineering
Center for Statistics & Machine Learning
Princeton Language and Intelligence (PLI)
Operations Research & Financial Engineering
Research output
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Contribution to conference
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Paper
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peer-review
49
Scopus citations
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Keyphrases
Gradient Descent
100%
Finite Sum
100%
Composition Optimization
100%
Reduced Gradient Method
100%
Machine Learning
50%
Gradient Technique
50%
Compositional Gradient
50%
Linear Convergence
50%
Strongly Convex Optimization
50%
Stochastic Composite Optimization
50%
Stochastic Variance Reduced Gradient
50%
Learning Statistics
50%
Optimization Formula
50%
Mathematics
Stochastics
100%
Variance
100%
Finite Sum
100%
Statistics
33%
Minimizes
33%
Convergence Rate
33%
Linear Convergence
33%
Computer Science
Gradient Descent
100%
Machine Learning
50%
Convex Optimization
50%
Convergence Rate
50%