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adding icml24 papers
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index.html

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@@ -116,14 +116,26 @@ <h3>Journals</h3>
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</ul>
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<h3>Conference</h3>
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<ul>
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<li><p>Tao Yu, <i>Gaurav Gupta</i>, Karthick Gopalswamy, Amith Mamidala, Hao Zhou, Jeffrey Huynh, Youngsuk Park, Ron Diamant, Anoop Deoras, and Luke Huan <br />
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<b>Collage: Light-Weight Low-Precision Strategy for LLM Training</b> <a href="https://arxiv.org/abs/2405.03637">[arXiv</a>]<br />
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in ICML: 41th International Conference on Machine Learning, July 2024.</p>
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</li>
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</ul>
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<ul>
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<li><p>S. Chandra Mouli, Danielle C. Maddix, Shima Alizadeh, <i>Gaurav Gupta</i>, Andrew Stuart, Michael W. Mahoney, and Yuyang Wang <br />
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<b>Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs</b> <a href="https://arxiv.org/abs/2403.10642">[arXiv</a>]<br />
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in ICML: 41th International Conference on Machine Learning, July 2024.</p>
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</li>
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</ul>
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<ul>
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<li><p>Derek Hansen, Danielle C. Maddix, Shima Alizadeh, <i>Gaurav Gupta</i>, Michael W. Mahoney <br />
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<b>Learning Physical Models that Can Respect Conservation Laws</b> <a href="https://arxiv.org/abs/2302.11002">[arXiv</a>]<br />
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in ICML: 40th International Conference on Machine Learning, July 2023.</p>
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</li>
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</ul>
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<ul>
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<li><p>Hilaf Hasson, Danielle C. Maddix, Bernie Wang, <i>Gaurav Gupta</i>, Youngsuk Park <br />
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<b>Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting</b> <br />
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<b>Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting</b> <a href="https://arxiv.org/abs/2305.15786">[arXiv</a>]<br />
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in ICML: 40th International Conference on Machine Learning, July 2023.</p>
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</li>
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</ul>
@@ -273,19 +285,11 @@ <h3>Technical Reports</h3>
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</ul>
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<div id="footer">
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<div id="footer-text">
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Page generated 2023-05-01 23:25:40 PDT, by <a href="http://jemdoc.jaboc.net/">jemdoc</a>.
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Page generated 2024-05-07 11:28:41 PDT, by <a href="http://jemdoc.jaboc.net/">jemdoc</a>.
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</div>
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</div>
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</td>
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</tr>
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</table>
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<!-- Global site tag (gtag.js) - Google Analytics -->
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<script async src="https://www.googletagmanager.com/gtag/js?id=UA-121309974-1"></script>
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<script>
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window.dataLayer = window.dataLayer || [];
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function gtag(){dataLayer.push(arguments);}
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gtag('js', new Date());
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gtag('config', 'UA-121309974-1');
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</script>
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</body>
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</html>

index.jemdoc

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@@ -76,12 +76,20 @@ under review Journal of Machine Learning Research (JMLR)
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=== Conference
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- Tao Yu, /Gaurav Gupta/, Karthick Gopalswamy, Amith Mamidala, Hao Zhou, Jeffrey Huynh, Youngsuk Park, Ron Diamant, Anoop Deoras, and Luke Huan \n
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*Collage: Light-Weight Low-Precision Strategy for LLM Training* [https://arxiv.org/abs/2405.03637 \[arXiv]]\n
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in ICML: 41th International Conference on Machine Learning, July 2024.
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- S. Chandra Mouli, Danielle C. Maddix, Shima Alizadeh, /Gaurav Gupta/, Andrew Stuart, Michael W. Mahoney, and Yuyang Wang \n
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*Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs* [https://arxiv.org/abs/2403.10642 \[arXiv]]\n
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in ICML: 41th International Conference on Machine Learning, July 2024.
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- Derek Hansen, Danielle C. Maddix, Shima Alizadeh, /Gaurav Gupta/, Michael W. Mahoney \n
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*Learning Physical Models that Can Respect Conservation Laws* [https://arxiv.org/abs/2302.11002 \[arXiv]]\n
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in ICML: 40th International Conference on Machine Learning, July 2023.
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- Hilaf Hasson, Danielle C. Maddix, Bernie Wang, /Gaurav Gupta/, Youngsuk Park \n
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*Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting* \n
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*Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting* [https://arxiv.org/abs/2305.15786 \[arXiv]]\n
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in ICML: 40th International Conference on Machine Learning, July 2023.
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- Nadim Saad\*, /Gaurav Gupta/\*, Shima Alizadeh, and Danielle C Maddix \n

jemdoc.py

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else:
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thisout = outname
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infile = open(inname, 'rUb')
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# infile = open(inname, 'rUb')
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infile = open(inname, 'rb')
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outfile = open(thisout, 'w')
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f = controlstruct(infile, outfile, conf, inname)

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