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    <title>Chandrasekaran and Jordan, &quot;Computational and Statistical Tradeoffs via Convex Relaxation&quot;</title>
    <dc:date>2013-09-06T09:34:09+00:00</dc:date>
    <link>http://users.cms.caltech.edu/~venkatc/cj_compstat_preprint12.pdf</link>
    <dc:creator>arthegall</dc:creator><dc:subject>michael-jordan machinelearning convex-optimization research-article</dc:subject>
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    <title>Vegh, &quot;Concave Generalized Flows with Applications to Market Equilibria&quot; (arXiv)</title>
    <dc:date>2012-12-06T11:06:05+00:00</dc:date>
    <link>http://arxiv.org/abs/1109.3893</link>
    <dc:creator>arthegall</dc:creator><dc:subject>network-flows networks convex-optimization arxiv research-article market-equilibria algorithms combinatorial-algorithms</dc:subject>
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<item rdf:about="http://arxiv.org/abs/1011.1941">
    <title>Abernethy, Chen, Vaughan, &quot;An Optimization-Based Framework for Automated Market-Making&quot; (arXiv)</title>
    <dc:date>2012-11-10T11:18:56+00:00</dc:date>
    <link>http://arxiv.org/abs/1011.1941</link>
    <dc:creator>arthegall</dc:creator><dc:subject>prediction-markets convex-optimization research-article arxiv combinatorial-markets</dc:subject>
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<item rdf:about="http://www.cs.berkeley.edu/~alekh/">
    <title>Alekh Agarwal</title>
    <dc:date>2012-02-13T13:10:44+00:00</dc:date>
    <link>http://www.cs.berkeley.edu/~alekh/</link>
    <dc:creator>arthegall</dc:creator><dc:subject>via:cshalizi researcher homepage big-data statistics online-optimization learning machinelearning convex-optimization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="http://stanford.edu/~boyd/papers/disc_cvx_prog.html">
    <title>&quot;Disciplined Convex Programming&quot;</title>
    <dc:date>2011-09-09T12:52:56+00:00</dc:date>
    <link>http://stanford.edu/~boyd/papers/disc_cvx_prog.html</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA[Michael Grant's PhD thesis on "structured" convex optimizations.  See http://cvxmod.net/ for a python wrapper around CVXOPT implementing some of these ideas? GPL'ed.]]></description>
<dc:subject>gpl programming python optimization convex-optimization thesis</dc:subject>
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    <title>Chandrasekaran, Parrilo, Willsky, &quot;Latent Variable Graphical Model Selection via Convex Optimization&quot; (arXiv)</title>
    <dc:date>2010-09-17T15:52:16+00:00</dc:date>
    <link>http://arxiv.org/abs/1008.1290</link>
    <dc:creator>arthegall</dc:creator><dc:subject>arxiv research-article optimization convex-optimization learning machinelearning graphical-models model-selection alan-willsky latent-variables via:cshalizi</dc:subject>
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<item rdf:about="http://agtb.wordpress.com/2010/07/13/regret-in-markets/">
    <title>&quot;Regret in Markets&quot; (Algorithmic Game-Theory/Economics)</title>
    <dc:date>2010-07-23T18:24:43+00:00</dc:date>
    <link>http://agtb.wordpress.com/2010/07/13/regret-in-markets/</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA[Noam Nisan's blog post that led to the Zinkevich paper about online convex optimization.
]]></description>
<dc:subject>markets algorithm computerscience economics convex-optimization regret noam-nisan citation game-theory</dc:subject>
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    <title>CVXOPT</title>
    <dc:date>2009-03-28T14:06:13+00:00</dc:date>
    <link>http://abel.ee.ucla.edu/cvxopt/index.html</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA["CVXOPT is a free software package for convex optimization based on the Python programming language."  (I got this from someone on delicious, but I don't remember who now... chl? arsyed? manuel? csantos? Thank you, whoever you are.)
]]></description>
<dc:subject>python optimization software library programming research convex-optimization linear-programming</dc:subject>
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    <title>&quot;Distance between two lines&quot; (Reasonable Deviations)</title>
    <dc:date>2009-01-19T13:06:27+00:00</dc:date>
    <link>http://stochastix.wordpress.com/2008/12/28/distance-between-two-lines/</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA[To think through: connections with some convex approximation stuff.
]]></description>
<dc:subject>mathematics linear-algebra geometry convex-optimization approximation</dc:subject>
<dc:identifier>https://pinboard.in/u:arthegall/b:ec924c848092/</dc:identifier>
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    <title>&quot;Stephen Boyd’s lectures on Convex Optimization&quot; (Reasonable Deviations)</title>
    <dc:date>2008-11-18T16:22:51+00:00</dc:date>
    <link>http://stochastix.wordpress.com/2008/10/28/stephen-boyd%E2%80%99s-lectures-on-convex-optimization/</link>
    <dc:creator>arthegall</dc:creator><description><![CDATA[Links to the lectures/transcripts/videos of two classes of Stephen Boyd's "Convex Optimization."
]]></description>
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