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Journal Article
Journal Article
Journal of the American Statistical Association, ISSN 0162-1459, 09/2011, Volume 106, Issue 495, pp. 1125 - 1138
Journal Article
Journal of Statistical Software, ISSN 1548-7660, 2010, Volume 33, Issue 1, pp. 1 - 22
We develop fast algorithms for estimation of generalized linear models with convex penalties. The models include linear regression, two-class logistic... 
Logistic regression | Elastic net | Coordinate-descent | penalty | Lasso | Regularization path | lasso | l penalty | CLASSIFICATION | STATISTICS & PROBABILITY | ALGORITHMS | VARIABLE SELECTION | CANCER | coordinate-descent | regularization path | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | PENALIZED LOGISTIC-REGRESSION | elastic net | logistic regression | ℓ1 penalty
Journal Article
SIAM Journal on Optimization, ISSN 1052-6234, 2015, Volume 25, Issue 4, pp. 1997 - 2023
We propose a new randomized coordinate descent method for minimizing the sum of convex functions each of which depends on a small number of coordinates only.... 
Partial separability | Randomized coordinate descent | Convex optimization | Proximal methods | Parallel methods | Big data | Acceleration | Complexity | acceleration | complexity | MATHEMATICS, APPLIED | OPTIMIZATION PROBLEMS | parallel methods | MINIMIZATION | ALGORITHM | randomized coordinate descent | proximal methods | convex optimization | big data | partial separability
Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 03/2014, Volume 62, Issue 6, pp. 1464 - 1475
Journal Article
Journal of Machine Learning Research, ISSN 1532-4435, 02/2015, Volume 16, pp. 285 - 322
We describe an asynchronous parallel stochastic coordinate descent algorithm for minimizing smooth unconstrained or separably constrained functions. The method... 
Stochastic coordinate descent | Asynchronous parallel optimization | CONVERGENCE | stochastic coordinate descent | SHRINKAGE | asynchronous parallel optimization | AUTOMATION & CONTROL SYSTEMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
SIAM Journal on Optimization, ISSN 1052-6234, 2012, Volume 22, Issue 2, pp. 341 - 362
In this paper we propose new methods for solving huge-scale optimization problems. For problems of this size, even the simplest full-dimensional vector... 
Google problem | Fast gradient schemes | Convex optimization | Coordinate relaxation | Worst-case efficiency estimates | MATHEMATICS, APPLIED | worst-case efficiency estimates | MINIMIZATION | fast gradient schemes | convex optimization | CONVERGENCE | coordinate relaxation
Journal Article
Optimization Methods and Software, ISSN 1055-6788, 09/2017, Volume 32, Issue 5, pp. 993 - 1005
We propose a novel stochastic gradient method-semi-stochastic coordinate descent-for the problem of minimizing a strongly convex function represented as the... 
90C06 | coordinate descent | 90C15 | empirical risk minimization | Stochastic gradient | COMPUTER SCIENCE, SOFTWARE ENGINEERING | MATHEMATICS, APPLIED | OPERATIONS RESEARCH & MANAGEMENT SCIENCE | Randomness | Computation | Probability theory | Descent
Journal Article
The Annals of Applied Statistics, ISSN 1932-6157, 3/2008, Volume 2, Issue 1, pp. 224 - 244
Journal Article
Journal Article
SIAM Journal on Optimization, ISSN 1052-6234, 2015, Volume 25, Issue 1, pp. 351 - 376
We describe an asynchronous parallel stochastic proximal coordinate descent algorithm for minimizing a composite objective function, which consists of a smooth... 
Stochastic coordinate descent | Asynchronous parallelism | Composite objective | Inconsistent read | MATHEMATICS, APPLIED | composite objective | inconsistent read | stochastic coordinate descent | asynchronous parallelism | Microprocessors | Mathematical analysis | Mathematical models | Stochasticity | Vectors (mathematics) | Processors | Descent | Optimization | Convergence
Journal Article
Computational Optimization and Applications, ISSN 0926-6003, 06/2018, Volume 70, Issue 2, pp. 351 - 394
Journal Article