Proximal gradient method

Results: 9



#Item
1Mathematical 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

Journal of Machine Learning Research2159 Submitted 3/10; Revised 3/11; Published 7/11 Adaptive Subgradient Methods for Online Learning and Stochastic Optimization∗

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Source URL: www.jmlr.org

Language: English - Date: 2011-07-05 16:26:18
2Numerical analysis / Applied mathematics / Statistics / Markov models / Mathematical optimization / Operations research / Reinforcement learning / Expectationmaximization algorithm / Sine / Proximal gradient method / Gradient method / Loss function

Trust Region Policy Optimization arXiv:1502.05477v4 [cs.LG] 6 Jun 2016 John Schulman JOSCHU @ EECS . BERKELEY. EDU

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Source URL: arxiv.org

Language: English - Date: 2016-06-06 20:48:19
3Markov models / Mathematical optimization / Operations research / Reinforcement learning / Expectationmaximization algorithm / Sine / Proximal gradient method / Gradient method / Markov chain / Loss function / Artificial neural network / Equation solving

Trust Region Policy Optimization arXiv:1502.05477v4 [cs.LG] 6 Jun 2016 John Schulman JOSCHU @ EECS . BERKELEY. EDU

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Source URL: arxiv.org

Language: English - Date: 2016-06-06 20:48:19
4Convex 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

Adaptive Subgradient Methods Adaptive Subgradient Methods for Online Learning and Stochastic Optimization∗ John Duchi

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Source URL: stanford.edu

Language: English - Date: 2014-09-05 13:17:02
5Stochastic optimization / Operations research / Stochastic gradient descent / Stochastic approximation / Gradient descent / Gradient method / Subgradient method / Convex optimization / Numerical analysis / Mathematical optimization / Mathematical analysis

Learning with stochastic proximal gradient Lorenzo Rosasco ∗ DIBRIS, Universit`a di Genova Via Dodecaneso, [removed]Genova, Italy

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Source URL: www.opt-ml.org

Language: English - Date: 2014-12-10 11:28:36
6Stochastic optimization / Numerical linear algebra / Stochastic gradient descent / Gradient method / Gradient descent / Stochastic approximation / Mathematical optimization / Random coordinate descent / Coordinate descent / Numerical analysis / Mathematical analysis / Mathematics

mS2GD: Mini-Batch Semi-Stochastic Gradient Descent in the Proximal Setting Jie Liu Lehigh University Bethlehem, PA 18015

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Source URL: www.opt-ml.org

Language: English - Date: 2014-12-10 11:28:41
7Convex analysis / Convex optimization / Homotopy / Linear programming / Convex function / Least squares / Mathematical optimization / Mathematical analysis / Operations research

An Adaptive Accelerated Proximal Gradient Method and its Homotopy Continuation for Sparse Optimization

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Source URL: jmlr.org

Language: English - Date: 2014-02-16 19:30:21
8Convex analysis / Convex optimization / Homotopy / Linear programming / Convex function / Least squares / Mathematical optimization / Mathematical analysis / Operations research

An Adaptive Accelerated Proximal Gradient Method and its Homotopy Continuation for Sparse Optimization

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Source URL: jmlr.org

Language: English - Date: 2014-02-16 19:30:21
9Operations research / Iterative methods / Convex optimization / Least squares / Linear programming / Constraint algorithm / Levenberg–Marquardt algorithm / Numerical analysis / Mathematical optimization / Applied mathematics

A Proximal-Gradient Homotopy Method for the `1 -Regularized Least-Squares Problem Lin Xiao Microsoft Research, 1 Microsoft Way, Redmond, WA[removed]USA Tong Zhang

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Source URL: icml.cc

Language: English - Date: 2012-06-07 13:20:12
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