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A Framework for Analyzing Stochastic Optimization Algorithms Under Dependence

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Figure

Table 3.1: Comparisons of algorithms in terms of their requirements and theoretical performance to get an  -approximate solution
Figure 3.1: Comparison between algorithms on simulated data.
Figure 3.2: Comparisons between algorithms on million song dataset.
Figure 4.1: Experimental results for p = 100, 500 and varying ρ. The x-axis is the elapsed CPU time and the y-axis measures log( f (x) − f (x ∗ )).
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