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Subgradient method
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1	Journal of Machine Learning Research2159 Submitted 3/10; Revised 3/11; Published 7/11 Adaptive Subgradient Methods for Online Learning and Stochastic Optimization∗ Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2011-07-05 16:26:18 Mathematical optimization Numerical analysis Mathematical analysis Convex optimization Stochastic optimization Machine learning Gradient descent Stochastic gradient descent Subgradient method Proximal gradient methods for learning Perceptron BroydenFletcherGoldfarbShanno algorithm
2	Dual Decomposition with Many Overlapping Components Andr´e F. T. Martins∗† Noah A. Smith∗ Pedro M. Q. Aguiar‡ M´ario A. T. Figueiredo† ∗ School of Computer Science, Carnegie Mellon University, Pittsburgh, P Add to Reading List Source URL: users.isr.ist.utl.pt Language: English - Date: 2011-06-21 07:04:38 Mathematical optimization Operations research Mathematics Mathematical analysis Convex optimization Subgradient method Augmented Lagrangian method Decomposition method Dynamic programming Algorithm Linear programming
3	Projected Natural Actor-Critic Philip S. Thomas, William Dabney, Sridhar Mahadevan, and Stephen Giguere School of Computer Science University of Massachusetts Amherst Amherst, MA 01003 Add to Reading List Source URL: psthomas.com Language: English - Date: 2013-11-10 12:06:12 Numerical analysis Numerical linear algebra Gradient descent Mathematical optimization Gradient method Reinforcement learning Artificial neural network Subgradient method
4	HVX: Disciplined Convex Programming and Symbolic Subdifferentiation in Haskell Chris Copeland 1 Add to Reading List Source URL: www.scs.stanford.edu Language: English - Date: 2014-06-12 03:57:46 Convex analysis Mathematical optimization Convex optimization Operations research Variational analysis Subgradient method Subderivative Ellipsoid method Convex function Generalized algebraic data type Convex set Map
5	Journal of Machine Learning Research) ??-?? Submitted; Revised; PublishedEfficient Online and Batch Learning using Forward Backward Splitting Add to Reading List Source URL: stanford.edu Language: English - Date: 2014-09-05 13:17:08 Mathematical optimization Convex analysis Convex optimization Subgradient method Gradient descent Lipschitz continuity Subderivative Support vector machine
6	Augmenting Dual Decomposition for MAP Inference ∗ Andr´e F. T. Martins∗† Noah A. Smith∗ Add to Reading List Source URL: users.isr.ist.utl.pt Language: English - Date: 2010-11-19 07:20:54 Symbol Subgradient method Measure theory
7	DISTRIBUTED ALGORITHMS FOR SPARSE RECONSTRUCTION João Mota Instituto Superior Técnico Lisbon, Portugal ABSTRACT Many applications require the knowledge of a sparse linear Add to Reading List Source URL: users.isr.ist.utl.pt Language: English - Date: 2008-11-21 11:04:05 Convex optimization Operations research Mathematical optimization Numerical linear algebra Subgradient method Linear programming Interior point method
8	277 Documenta Math. Subgradient Optimization in Nonsmooth Optimization Add to Reading List Source URL: documenta.sagemath.org Language: English - Date: 2012-07-25 10:25:10 Mathematical optimization Subgradient method Subderivative Gradient descent Relaxation Cutting-plane method Convex optimization
9	c 2012 Society for Industrial and Applied Mathematics SIAM J. OPTIM. Vol. 22, No. 4, pp. 1549–1578 Add to Reading List Source URL: stanford.edu Language: English - Date: 2014-09-05 13:16:58 Generalized functions Stochastic optimization Mathematical optimization Ergodic theory Mixing Stochastic approximation Markov chain Distribution Subgradient method Central limit theorem
10	Adaptive Subgradient Methods Adaptive Subgradient Methods for Online Learning and Stochastic Optimization∗ John Duchi Add to Reading List Source URL: stanford.edu Language: English - Date: 2014-09-05 13:17:02 Convex optimization Mathematical optimization Stochastic optimization Machine learning Gradient descent Subgradient method Stochastic gradient descent Proximal gradient methods for learning Perceptron BroydenFletcherGoldfarbShanno algorithm Online machine learning Loss functions for classification