4350
We propose a family of non-uniform sampling strategies to provably speed up a class of stochastic optimization algorithms with linear convergence including Stochastic Variance Reduced Gradient -LRB- SVRG -RRB- and Stochastic Dual Coordinate Ascent -LRB- SDCA -RRB- .
 used for: non-uniform sampling strategies, stochastic optimization algorithms; feature of: linear convergence, stochastic optimization algorithms; hyponym of: Stochastic Variance Reduced Gradient -LRB- SVRG -RRB-, stochastic optimization algorithms; conjunction: Stochastic Variance Reduced Gradient -LRB- SVRG -RRB-, Stochastic Dual Coordinate Ascent -LRB- SDCA -RRB-; hyponym of: Stochastic Dual Coordinate Ascent -LRB- SDCA -RRB-, stochastic optimization algorithms
Given options, please tell me the relationships of all the listed entity pairs.Output format is "relation1: word1, word2; relation2: word3, word4". 
Option: conjunction, feature of, hyponym of, used for, part of, compare, evaluate for 
Text: {0} 
 Entity Pairs:  non-uniform sampling strategies, stochastic optimization algorithms; linear convergence, stochastic optimization algorithms; Stochastic Variance Reduced Gradient -LRB- SVRG -RRB-, stochastic optimization algorithms; Stochastic Variance Reduced Gradient -LRB- SVRG -RRB-, Stochastic Dual Coordinate Ascent -LRB- SDCA -RRB-; Stochastic Dual Coordinate Ascent -LRB- SDCA -RRB-, stochastic optimization algorithms 
Answer:
 used for: non-uniform sampling strategies, stochastic optimization algorithms; feature of: linear convergence, stochastic optimization algorithms; hyponym of: Stochastic Variance Reduced Gradient -LRB- SVRG -RRB-, stochastic optimization algorithms; conjunction: Stochastic Variance Reduced Gradient -LRB- SVRG -RRB-, Stochastic Dual Coordinate Ascent -LRB- SDCA -RRB-; hyponym of: Stochastic Dual Coordinate Ascent -LRB- SDCA -RRB-, stochastic optimization algorithms