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Scaling up M-estimation via sampling designs: The Horvitz-Thompson stochastic gradient descent.
Stéphan Clémençon
Patrice Bertail
Emilie Chautru
Published in:
IEEE BigData (2014)
Keyphrases
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stochastic gradient descent
importance sampling
least squares
loss function
monte carlo
matrix factorization
step size
markov chain
random forests
support vector machine
regularization parameter
optical flow
upper bound
machine learning algorithms
kalman filter