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<h2>Notable Paper Awards</h2>

Congratulations to our Notable Papers!&nbsp; We selected these 7 papers from over 270 submissions based on technical contribution, presentation, and overall significance.&nbsp; For each Notable Paper, the senior program commitee nominated a discussant; these discussants each wrote a short discussion paper summarizing the Notable Paper's most significant benefits, caveats, and relationships to the broader literature.<p>

We presented awards to the Notable Paper authors at the conference.&nbsp; Thanks to our <a href="sponsors.php">sponsors</a>, Google and Microsoft, for funding these awards!<p>

The papers:
<ul> 
<li> Robert Tillman and Peter Spirtes.&nbsp; Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables.&nbsp; [<a href="http://jmlr.csail.mit.edu/proceedings/papers/v15/tillman11a.html">abs, pdf, discussion</a>]
<li>Alina Beygelzimer, John Langford, Lihong Li, Lev Reyzin, and Robert Schapire.&nbsp; Contextual Bandit Algorithms with Supervised Learning Guarantees.&nbsp; [<a href="http://jmlr.csail.mit.edu/proceedings/papers/v15/beygelzimer11a.html">abs, pdf, discussion</a>]
<li> Hugo Larochelle and Iain Murray.&nbsp; The Neural Autoregressive Distribution Estimator.&nbsp; [<a href="http://jmlr.csail.mit.edu/proceedings/papers/v15/larochelle11a.html">abs, pdf, discussion</a>]
<li> Qiang Liu and Alexander Ihler.&nbsp; Learning Scale Free Networks by Reweighted L1 regularization.&nbsp; [<a href="http://jmlr.csail.mit.edu/proceedings/papers/v15/liu11a.html">abs, pdf, discussion</a>]
<li> Neil Lawrence.&nbsp; Spectral Dimensionality Reduction via Maximum Entropy.&nbsp; [<a href="http://jmlr.csail.mit.edu/proceedings/papers/v15/lawrence11a.html">abs, pdf, discussion</a>]
<li> Frederik Eaton.&nbsp; A conditional game for comparing approximations.&nbsp; [<a href="http://jmlr.csail.mit.edu/proceedings/papers/v15/eaton11a.html">abs, pdf, discussion</a>]
<li> John Paisley, Chong Wang, and David Blei.&nbsp; The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling.&nbsp; [<a href="http://jmlr.csail.mit.edu/proceedings/papers/v15/paisley11a.html">abs, pdf, discussion</a>]
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