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REPORTS > AUTHORS > RAN RAZ:
All reports by Author Ran Raz:

TR19-071 | 14th May 2019
Sumegha Garg, Ran Raz, Avishay Tal

Time-Space Lower Bounds for Two-Pass Learning

A line of recent works showed that for a large class of learning problems, any learning algorithm requires either super-linear memory size or a super-polynomial number of samples [Raz16,KRT17,Raz17,MM18,BOGY18,GRT18]. For example, any algorithm for learning parities of size $n$ requires either a memory of size $\Omega(n^{2})$ or an exponential number ... more >>>




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