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-regression in nearly linear time for dense instances.
Jan van den Brand
Yin Tat Lee
Yang P. Liu
Thatchaphol Saranurak
Aaron Sidford
Zhao Song
Di Wang
Published in:
STOC (2021)
Keyphrases
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regression model
model selection
simple linear
linear programming
linear regression
randomly generated
stereo correspondence
regression algorithm
ridge regression
data sets
neural network
lower bound
gaussian processes
regression analysis
regression problems
dense optical flow