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<div class="moz-text-flowed" style="font-family: -moz-fixed;
font-size: 12px;" lang="x-unicode">Dear colleagues,
<br>
<br>
we are accepting abstract submissions for the Learning Meets
Combinatorial Algorithms(LMCA) workshop at NeurIPS2020. Submission
instructions (deadline Oct 05 2020 11:59PM UTC) can be found on
the workshop website: <a class="moz-txt-link-freetext"
href="https://sites.google.com/view/lmca2020">https://sites.google.com/view/lmca2020</a>
along with the list of invited speakers.
<br>
<br>
Why this workshop? Machine learning algorithms have been shown to
generalize poorly on combinatorially demanding tasks. Recent
research has demonstrated that merging combinatorial optimization
with machine learning methods enables solving problems that
require non-trivial combinatorial generalization beyond pattern
matching. In this spirit, this workshop aims to bring the
communities (machine learning and combinatorial optimization,
operations research) together in order to motivate further
research at the intersection. This involves:
<br>
<br>
*
Machine learning approaches aimed at improving combinatorial
<br>
algorithms/solvers.
<br>
<br>
*
Machine learning techniques to directly learn solvers for
<br>
combinatorial problems.
<br>
<br>
*
Hybrid architectures; pipelines containing both
<br>
algorithmic/combinatorial and standard NN building blocks.
<br>
<br>
*
Applications of the above.
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<br>
<br>
Kind regards,
<br>
Marin Vlastelica
<br>
<br>
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