2 problems
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Linearly decreasing mini-batch complexity for stochastic variance-reduced methods
The expected smoothness constant governs the convergence of stochastic variance-reduced methods, and the total complexity of SAGA decreases linearly with the mini-batch size up to…
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Conjecture on total-complexity improvement for larger problems in mini-batch SAGA
The discussion concerns mini-batch SAGA applied with a mini-batch size to stochastic optimization problems, where the total complexity is the product of and the iterati…