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Link to arxiv paper (#481)
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PGijsbers authored Jul 27, 2022
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10 changes: 6 additions & 4 deletions docs/index.html
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Expand Up @@ -338,10 +338,12 @@ <h3>Easy to Extend</h3>
<h3>📄 Paper</h3>
<div>
A preprint of our most recent paper is available on
<a href="#">ArXiv</a>. It includes an in-depth discussion of the
different design decisions and its limiations, as well as a
multi-faceted analysis of results from large scale comparison
across 9 frameworks on more than 100 tasks.
<a href="https://arxiv.org/abs/2207.12560" target="_blank"
>ArXiv</a
>. It includes an in-depth discussion of the different design
decisions and its limiations, as well as a multi-faceted analysis
of results from large scale comparison across 9 frameworks on more
than 100 tasks.
<!-- https://arxiv.org/abs/1907.00909 -->
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36 changes: 19 additions & 17 deletions docs/papers.html
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Expand Up @@ -210,16 +210,11 @@ <h2 class="paper-title">AMLB: an AutoML Benchmark</h2>
<strong>2022</strong>
<div>Under Review</div>
</div>
<p>Links to be added after preprint publication.</p>
<!-- <a class="flat-button">
<a class="flat-button">
<label for="cite-2022">CITE</label>
</a>
<a
href="https://www.automl.org/wp-content/uploads/2019/06/automlws2019_Paper45.pdf"
target="_blank"
>PDF</a
>
<a href="https://arxiv.org/abs/1907.00909" target="_blank">ArXiv</a>
<a href="https://arxiv.org/pdf/2207.12560.pdf" target="_blank">PDF</a>
<a href="https://arxiv.org/abs/2207.12560" target="_blank">ArXiv</a>
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Expand All @@ -228,15 +223,22 @@ <h2 class="paper-title">AMLB: an AutoML Benchmark</h2>
class="hidden-content-checkbox"
/>
<div class="hidden-content bibtex">
@article{amlb2019, <br />
&emsp; title={An Open Source AutoML Benchmark},<br />
&emsp; author={Gijsbers, P. and LeDell, E. and Poirier, S. and
Thomas, J. and Bischl, B. and Vanschoren, J.}, <br />
&emsp; journal={arXiv preprint arXiv:1907.00909 [cs.LG]}, <br />
&emsp; url={https://arxiv.org/abs/1907.00909}, <br />
&emsp; note={Accepted at AutoML Workshop at ICML 2019}, <br />
&emsp; year={2019} <br />}
</div> -->
@misc{https://doi.org/10.48550/arxiv.2207.12560, <br />
&emsp; doi = {10.48550/ARXIV.2207.12560}, <br />
&emsp; url = {https://arxiv.org/abs/2207.12560}, <br />
&emsp; author = {Gijsbers, Pieter and Bueno, Marcos L. P. and Coors,
Stefan and LeDell, Erin and Poirier, S\'{e}bastien and Thomas, Janek
and Bischl, Bernd and Vanschoren, Joaquin}, <br />
&emsp; keywords = {Machine Learning (cs.LG), Machine Learning
(stat.ML), FOS: Computer and information sciences, FOS: Computer and
information sciences}, <br />
&emsp; title = {AMLB: an AutoML Benchmark}, <br />
&emsp; publisher = {arXiv}, <br />
&emsp; year = {2022}, <br />
&emsp; copyright = {Creative Commons Attribution 4.0 International}
<br />
}
</div>
</div>
</div>
<div class="paper">
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