101![While the use of statistical methods to identify financial risk factors is a long-standing practice, the use of convex optimization for this purpose is a recent innovation. Specifically, a combination of convex programs While the use of statistical methods to identify financial risk factors is a long-standing practice, the use of convex optimization for this purpose is a recent innovation. Specifically, a combination of convex programs](https://www.pdfsearch.io/img/828633e10d0681c45eff5fdd490f1eb4.jpg) | Add to Reading ListSource URL: mmds-data.org- Date: 2016-06-23 15:50:48
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102![CS168: The Modern Algorithmic Toolbox Lecture #6: Stochastic Gradient Descent and Regularization Tim Roughgarden & Gregory Valiant∗ April 13, 2016 CS168: The Modern Algorithmic Toolbox Lecture #6: Stochastic Gradient Descent and Regularization Tim Roughgarden & Gregory Valiant∗ April 13, 2016](https://www.pdfsearch.io/img/212337f32f0532d80acd180dc892f57d.jpg) | Add to Reading ListSource URL: theory.stanford.eduLanguage: English - Date: 2016-06-04 09:49:44
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103![JMLR: Workshop and Conference Proceedings vol 40:1–46, 2015 Escaping From Saddle Points – Online Stochastic Gradient for Tensor Decomposition Rong Ge JMLR: Workshop and Conference Proceedings vol 40:1–46, 2015 Escaping From Saddle Points – Online Stochastic Gradient for Tensor Decomposition Rong Ge](https://www.pdfsearch.io/img/031567571076e4de133ca3d1374c22d3.jpg) | Add to Reading ListSource URL: jmlr.orgLanguage: English - Date: 2015-07-20 20:08:36
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104![Region of Attraction Estimation for a Perching Aircraft: A Lyapunov Method Exploiting Barrier Certificates Elena Glassman, Alexis Lussier Desbiens, Mark Tobenkin, Mark Cutkosky, and Russ Tedrake Abstract— Dynamic perch Region of Attraction Estimation for a Perching Aircraft: A Lyapunov Method Exploiting Barrier Certificates Elena Glassman, Alexis Lussier Desbiens, Mark Tobenkin, Mark Cutkosky, and Russ Tedrake Abstract— Dynamic perch](https://www.pdfsearch.io/img/d9582d9f19f7b07ce654102d9a2e9237.jpg) | Add to Reading ListSource URL: eglassman.github.ioLanguage: English - Date: 2016-07-29 16:41:12
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105![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 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](https://www.pdfsearch.io/img/bd7dd43efea920d0197262e4d2cf99e8.jpg) | Add to Reading ListSource URL: users.isr.ist.utl.ptLanguage: English - Date: 2011-06-21 07:04:38
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106![CS261: A Second Course in Algorithms Lecture #8: Linear Programming Duality (Part 1)∗ Tim Roughgarden† January 28, CS261: A Second Course in Algorithms Lecture #8: Linear Programming Duality (Part 1)∗ Tim Roughgarden† January 28,](https://www.pdfsearch.io/img/733dd64c45ed76f20ebf20e22f723737.jpg) | Add to Reading ListSource URL: theory.stanford.eduLanguage: English - Date: 2016-02-17 12:29:08
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107![Optimization in Image Processing Workshop Program Monday, June 27 9:30-10:20 Joachim Weickert, Saarland University Title: “FSI Schemes: Fast Semi-Iterative Methods for Diffusive or Variational Image Optimization in Image Processing Workshop Program Monday, June 27 9:30-10:20 Joachim Weickert, Saarland University Title: “FSI Schemes: Fast Semi-Iterative Methods for Diffusive or Variational Image](https://www.pdfsearch.io/img/855a315994258d95ad254a0e44a079be.jpg) | Add to Reading ListSource URL: cmsa.fas.harvard.eduLanguage: English - Date: 2016-06-28 13:47:36
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108![51 Documenta Math. Linear Programming Stories 51 Documenta Math. Linear Programming Stories](https://www.pdfsearch.io/img/bf6dab8236c5f58708d34b06b38e552f.jpg) | Add to Reading ListSource URL: www.math.uiuc.eduLanguage: English - Date: 2012-07-25 10:24:41
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109![CS261: A Second Course in Algorithms Lecture #7: Linear Programming: Introduction and Applications∗ Tim Roughgarden† January 26, 2016 CS261: A Second Course in Algorithms Lecture #7: Linear Programming: Introduction and Applications∗ Tim Roughgarden† January 26, 2016](https://www.pdfsearch.io/img/386019824d816bbe5a2f0998366bd147.jpg) | Add to Reading ListSource URL: theory.stanford.eduLanguage: English - Date: 2016-02-06 11:11:11
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110![The last few years has seen a flurry of activity in non-convex approaches to enable solution of large scale optimization problems that come up in machine learning. The common thread in many of these results is that low-r The last few years has seen a flurry of activity in non-convex approaches to enable solution of large scale optimization problems that come up in machine learning. The common thread in many of these results is that low-r](https://www.pdfsearch.io/img/540728b3a90899c61ef94de703e71b65.jpg) | Add to Reading ListSource URL: mmds-data.org- Date: 2016-06-23 15:50:48
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