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    <title>PyPI recent updates for proxy-losses</title>
    <link>https://pypi.org/project/proxy-losses/</link>
    <description>Recent updates to the Python Package Index for proxy-losses</description>
    <language>en</language>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/proxy-losses/0.1.3/</link>
      <description>proxy-losses is a PyTorch library of differentiable proxy losses for ranking metrics — intended as drop-in replacements for cross-entropy when the real objective is Average Precision or recall at a specific operating point.</description>
<author>cjsantiago@gatech.edu</author>      <pubDate>Fri, 13 Mar 2026 20:16:00 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/proxy-losses/0.1.2/</link>
      <description>proxy-losses is a PyTorch library of differentiable proxy losses for ranking metrics — intended as drop-in replacements for cross-entropy when the real objective is Average Precision or recall at a specific operating point.</description>
<author>cjsantiago@gatech.edu</author>      <pubDate>Thu, 12 Mar 2026 20:41:15 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/proxy-losses/0.1.1/</link>
      <description>proxy-losses is a PyTorch library of differentiable proxy losses for ranking metrics — intended as drop-in replacements for cross-entropy when the real objective is Average Precision or recall at a specific operating point.</description>
<author>cjsantiago@gatech.edu</author>      <pubDate>Thu, 12 Mar 2026 14:36:55 GMT</pubDate>
    </item>  </channel>
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