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An accelerated communication-efficient primal-dual optimization framework for structured machine learning.
Chenxin Ma
Martin Jaggi
Frank E. Curtis
Nathan Srebro
Martin Takác
Published in:
Optim. Methods Softw. (2021)
Keyphrases
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primal dual
machine learning
lower bound
linear programming
risk minimization
learning algorithm
computer vision
approximation algorithms
affine scaling
image segmentation
reinforcement learning
pairwise
optimization problems
learning tasks
line search
algorithm for linear programming