1![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/2033dea67ab501ef311b2026e1f8bff7.jpg) | Add to Reading ListSource URL: mmds-data.org- Date: 2016-06-23 15:50:48
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2![A combination of convex programs developed by Chan- drasekaran, Parillo and Wilskyand Saunderson et alcan be used to extract financial risk factors from a sample return covariance matrix. I will examine A combination of convex programs developed by Chan- drasekaran, Parillo and Wilskyand Saunderson et alcan be used to extract financial risk factors from a sample return covariance matrix. I will examine](https://www.pdfsearch.io/img/e381180fea9010fb010dfb4b75f503a0.jpg) | Add to Reading ListSource URL: mmds-data.org- Date: 2016-06-23 15:50:48
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3![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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4![A combination of convex programs developed by Chan- drasekaran, Parillo and Wilskyand Saunderson et alcan be used to extract financial risk factors from a sample return covariance matrix. I will examine A combination of convex programs developed by Chan- drasekaran, Parillo and Wilskyand Saunderson et alcan be used to extract financial risk factors from a sample return covariance matrix. I will examine](https://www.pdfsearch.io/img/c0665e1f64ccf2ad6948360e37b70360.jpg) | Add to Reading ListSource URL: mmds-data.org- Date: 2016-06-23 15:50:48
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5![BUILDING ENSEMBLES OF SURROGATES BY OPTIMAL CONVEX COMBINATION Martina Friese, Thomas Bartz-Beielstein SPOTSeven Lab, TH K¨ oln, Gummersbach, Germany , BUILDING ENSEMBLES OF SURROGATES BY OPTIMAL CONVEX COMBINATION Martina Friese, Thomas Bartz-Beielstein SPOTSeven Lab, TH K¨ oln, Gummersbach, Germany ,](https://www.pdfsearch.io/img/b9dcd1138fb1b8fd17de448519213707.jpg) | Add to Reading ListSource URL: bioma.ijs.siLanguage: English - Date: 2016-05-13 04:11:34
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6![Zero-Shot Learning by Convex Combination of Semantic Embeddings Mohammad Norouzi∗, Tomas Mikolov, Samy Bengio, Yoram Singer, Jonathon Shlens, Andrea Frome, Greg S. Corrado, Jeffrey Dean , {tmikolo Zero-Shot Learning by Convex Combination of Semantic Embeddings Mohammad Norouzi∗, Tomas Mikolov, Samy Bengio, Yoram Singer, Jonathon Shlens, Andrea Frome, Greg S. Corrado, Jeffrey Dean , {tmikolo](https://www.pdfsearch.io/img/bd578604e14627490ad9252b0eb65064.jpg) | Add to Reading ListSource URL: bengio.abracadoudou.comLanguage: English - Date: 2014-03-28 18:52:07
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7![Notes on Indirect Utility How do we show that the indirect utility function is quasi-convex? We want to show that if v(p, m) ≥ v(p0 , m0 ), then the indirect utility of the convex combination budget is worse than the i Notes on Indirect Utility How do we show that the indirect utility function is quasi-convex? We want to show that if v(p, m) ≥ v(p0 , m0 ), then the indirect utility of the convex combination budget is worse than the i](https://www.pdfsearch.io/img/e897321f8a3e242f4e77feca6ed54274.jpg) | Add to Reading ListSource URL: econ.ucsb.eduLanguage: English - Date: 2011-10-14 19:42:04
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8![On-Line Geometric Modeling Notes AFFINE COMBINATIONS, BARYCENTRIC COORDINATES, AND CONVEX COMBINATIONS Kenneth I. Joy On-Line Geometric Modeling Notes AFFINE COMBINATIONS, BARYCENTRIC COORDINATES, AND CONVEX COMBINATIONS Kenneth I. Joy](https://www.pdfsearch.io/img/b20dbf2b5ec6ad0ca98bb82227344cff.jpg) | Add to Reading ListSource URL: graphics.cs.ucdavis.eduLanguage: English - Date: 2009-09-23 12:58:14
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9![Math. Appl), 91–96 DOI: maON THE POLYHEDRAL CONES OF CONVEX AND CONCAVE VECTORS STEPHAN FOLDES and LASZLO MAJOR Math. Appl), 91–96 DOI: maON THE POLYHEDRAL CONES OF CONVEX AND CONCAVE VECTORS STEPHAN FOLDES and LASZLO MAJOR](https://www.pdfsearch.io/img/8ef7e9b96710894523b5f78905c58d40.jpg) | Add to Reading ListSource URL: ma.fme.vutbr.czLanguage: English - Date: 2015-01-08 02:58:38
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10![Zero-Shot Learning by Convex Combination of Semantic Embeddings arXiv:1312.5650v3 [cs.LG] 21 Mar[removed]Mohammad Norouzi∗, Tomas Mikolov, Samy Bengio, Yoram Singer, Zero-Shot Learning by Convex Combination of Semantic Embeddings arXiv:1312.5650v3 [cs.LG] 21 Mar[removed]Mohammad Norouzi∗, Tomas Mikolov, Samy Bengio, Yoram Singer,](https://www.pdfsearch.io/img/93793eab678c3e19e9eea467fcfe5c60.jpg) | Add to Reading ListSource URL: arxiv.orgLanguage: English - Date: 2014-03-24 23:33:51
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