71![Generalized Line Spectral Estimation via Convex Optimization Reinhard Heckel∗ and Mahdi Soltanolkotabi† September 26, 2016 Abstract Line spectral estimation is the problem of recovering the frequencies and amplitudes Generalized Line Spectral Estimation via Convex Optimization Reinhard Heckel∗ and Mahdi Soltanolkotabi† September 26, 2016 Abstract Line spectral estimation is the problem of recovering the frequencies and amplitudes](https://www.pdfsearch.io/img/39e38ca9f69d620b1d52c4d8f1c08c66.jpg) | Add to Reading ListSource URL: www.reinhardheckel.com- Date: 2018-02-26 16:53:33
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72![Convex Optimization M2 Lecture 8 A. d’Aspremont. Convex Optimization M2 Convex Optimization M2 Lecture 8 A. d’Aspremont. Convex Optimization M2](https://www.pdfsearch.io/img/a2a4fb09529689c4c6fd0190cd6973d1.jpg) | Add to Reading ListSource URL: www.di.ens.fr |
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73![Input Convex Neural Networks Input Convex Neural Networks](https://www.pdfsearch.io/img/3726ab5080cf01cfd424bb65fc2cd2a1.jpg) | Add to Reading ListSource URL: proceedings.mlr.press- Date: 2018-02-06 15:06:57
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74![Supplement to “A Semismooth Newton Method for Fast, Generic Convex Programming” Alnur Ali * 1 Eric Wong * 1 J. Zico Kolter 2 This document contains proofs and supplementary details for the paper “A Semismooth Newt Supplement to “A Semismooth Newton Method for Fast, Generic Convex Programming” Alnur Ali * 1 Eric Wong * 1 J. Zico Kolter 2 This document contains proofs and supplementary details for the paper “A Semismooth Newt](https://www.pdfsearch.io/img/ec8cf1833fd7db2a2fde9e143a2fba3e.jpg) | Add to Reading ListSource URL: proceedings.mlr.press- Date: 2018-02-06 15:06:57
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75![Convex Optimization M2 Lecture 6 A. d’Aspremont. Convex Optimization M2 Convex Optimization M2 Lecture 6 A. d’Aspremont. Convex Optimization M2](https://www.pdfsearch.io/img/15ff7a53783000811e01713af3afe1ee.jpg) | Add to Reading ListSource URL: www.di.ens.fr |
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76![Convex Optimization M2 Lecture 2 A. d’Aspremont. Convex Optimization M2 Convex Optimization M2 Lecture 2 A. d’Aspremont. Convex Optimization M2](https://www.pdfsearch.io/img/674bc9562536c8acf3e4dfcd2bb47187.jpg) | Add to Reading ListSource URL: www.di.ens.fr |
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77![Convex Optimization Exam, NovemberYou have three hours. You may use a single double-sided page of notes. Please keep your answers as concise as possible. Exercise 1 (Duality) Derive the dual of the following LP mi Convex Optimization Exam, NovemberYou have three hours. You may use a single double-sided page of notes. Please keep your answers as concise as possible. Exercise 1 (Duality) Derive the dual of the following LP mi](https://www.pdfsearch.io/img/534baa2ca9a0c618931c458a07b168bd.jpg) | Add to Reading ListSource URL: www.di.ens.fr |
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78![Convex Relaxations for Permutation Problems Alex d’Aspremont, CNRS & ENS, Paris. with Fajwel Fogel, Rodolphe Jenatton & Francis Bach, INRIA & ENS Paris. Convex Relaxations for Permutation Problems Alex d’Aspremont, CNRS & ENS, Paris. with Fajwel Fogel, Rodolphe Jenatton & Francis Bach, INRIA & ENS Paris.](https://www.pdfsearch.io/img/d3e60248e48f8d7a8b9a04a0b1fe2475.jpg) | Add to Reading ListSource URL: www.di.ens.fr |
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79![2016 29th SIBGRAPI Conference on Graphics, Patterns and Images Convex Hull for Probabilistic Points F. Betul Atalay Sorelle A. Friedler 2016 29th SIBGRAPI Conference on Graphics, Patterns and Images Convex Hull for Probabilistic Points F. Betul Atalay Sorelle A. Friedler](https://www.pdfsearch.io/img/0e801183c88ad3aa35c8e9fb3daa8932.jpg) | Add to Reading ListSource URL: sorelle.friedler.net- Date: 2016-10-18 12:43:32
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80![Input-Convex Deep Networks Input-Convex Deep Networks](https://www.pdfsearch.io/img/01508caefaf6a709ce081b75a27a41b2.jpg) | Add to Reading ListSource URL: bamos.github.io- Date: 2018-02-27 11:04:11
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