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We propose Shotgun, a parallel coordinate descent algorithm for minimizing L1-regularized losses.
Distributed asynchronous deterministic and stochastic gradient optimization algorithms
Tsitsiklis, J. N., Bertsekas, D. P., and Athans, M · 1986
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Linear Algebra and Its Applications
Strang, G · 1988
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Hitting the memory wall: Implications of the obvious
Wulf, W.A. and McKee, S.A · 1995
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Regression shrinkage and selection via the lasso
Tibshirani, R · 1996
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Penalized regressions: The bridge versus the lasso
Fu, W.J · 1998
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LIBSVM: a library for support vector machines , 2001
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Least angle regression
Efron, B., Hastie, T., Johnstone, I., and Tibshirani, R · 2004
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RCV1: A new benchmark collection for text categorization research
Lewis, D.D., Yang, Y., Rose, T.G., and Li, F · 2004
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Feature selection,
Ng, A.Y · 2004
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An interior-point method for large-scale
Kim, S. J., Koh, K., Lustig, M., Boyd, S., and Gorinevsky, D · 2007
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An interior-point method for large-scale l1-regularized logistic regression
Koh, K., Kim, S.-J., and Boyd, S · 2007
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Single-pixel imaging via compressive sampling
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Gradient projection for sparse reconstruction: Application to compressed sensing and other inverse problems
Figueiredo, M.A.T, Nowak, R.D., and Wright, S.J · 2008
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Iterative hard thresholding for compressed sensing
Blumensath, T. and Davies, M.E · 2009
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Efficient large-scale distributed training of conditional maximum entropy models
Mann, G., McDonald, R., Mohri, M., Silberman, N., and Walker, D · 2009
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Stochastic methods for
Shalev-Shwartz, S. and Tewari, A · 2009
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Sparco: A testing framework for sparse reconstruction
van den Berg, E., Friedlander, M.P., Hennenfent, G., Herrmann, F., Saab, R., and Yılmaz, O · 2009
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Sparse reconstruction by separable approximation
Wright, S.J., Nowak, D.R., and Figueiredo, M.A.T · 2009
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Regularization paths for generalized linear models via coordinate descent
Friedman, J., Hastie, T., and Tibshirani, R · 2010
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A fast algorithm for sparse reconstruction based on shrinkage, subspace optimization and continuation
Wen, Z., Yin, W. Goldfarb, D., and Zhang, Y · 2010
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Leiserson, C. E · 2009
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Slow learners are fast
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