Media Summary: A primal-dual method for conic constrained distributed optimization problems. Deep learning has been at the root of significant progress in many application areas, such as computer perception and natural ... Submission Alexander Shishkin, Anastasia Bezzubtseva, Alexey Drutsa, Ilya Shishkov, Ekaterina Gladkikh, Gleb Gusev, ...
Data Programming Nips 2016 Spotlight Video - Detailed Analysis & Overview
A primal-dual method for conic constrained distributed optimization problems. Deep learning has been at the root of significant progress in many application areas, such as computer perception and natural ... Submission Alexander Shishkin, Anastasia Bezzubtseva, Alexey Drutsa, Ilya Shishkov, Ekaterina Gladkikh, Gleb Gusev, ... One-shot learning is usually tackled by using generative models or discriminative embeddings. Discriminative methods based on ... Maja R. Rudolph, Francisco J. R. Ruiz, Stephan Mandt, David M. Blei here is a link to the paper: ...
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