<div dir="ltr"><div dir="ltr"><div dir="ltr" class="gmail_signature"><div dir="ltr"><h3 style="box-sizing:border-box;font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-weight:500;line-height:1.1;color:rgb(51,51,51);margin-top:20px;margin-bottom:10px;font-size:24px">ICML 2020 Call for Papers</h3><p style="box-sizing:border-box;margin:0px 0px 10px;color:rgb(51,51,51);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:14px">The 37th International Conference on Machine Learning (ICML 2020) will be held in Vienna, Austria from 12 July to 18 July, 2020. The conference will consist of one Expo day (12 July), one day of tutorials (13 July), followed by three days of main conference sessions (14-16 July), followed by two days of workshops (17-18 July). We invite submissions of papers on all topics related to machine learning for the main conference proceedings.</p><p style="box-sizing:border-box;margin:0px 0px 10px;color:rgb(51,51,51);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:14px"><span style="box-sizing:border-box;font-weight:700">Deadlines</span>: This year, ICML will continue with a single review cycle, with an abstract submission deadline of Jan 30, 2020 AOE  and a full paper submission deadline of Feb 06, 2020 AOE; all paper submission deadlines are "Anywhere On Earth."</p><p style="box-sizing:border-box;margin:0px 0px 10px;color:rgb(51,51,51);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:14px">Submissions will open 7 Jan, 2020 and can be submitted through CMT:</p><p style="box-sizing:border-box;margin:0px 0px 10px;color:rgb(51,51,51);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:14px">  <a href="https://cmt3.research.microsoft.com/ICML2020/" target="_blank" style="color:rgb(51,122,183);box-sizing:border-box;background-color:transparent;text-decoration-line:none">https://cmt3.research.microsoft.com/ICML2020/</a></p><p style="box-sizing:border-box;margin:0px 0px 10px;color:rgb(51,51,51);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:14px">Topics of interest include (but are not limited to):</p><ol style="box-sizing:border-box;margin-top:0px;margin-bottom:10px;color:rgb(51,51,51);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:14px"><li style="margin-left:15px;box-sizing:border-box"><p style="box-sizing:border-box;margin:0px 0px 10px">General Machine Learning (active learning, clustering, online learning, ranking, reinforcement learning, semi-supervised learning, time series analysis, unsupervised learning, etc.)</p></li><li style="margin-left:15px;box-sizing:border-box"><p style="box-sizing:border-box;margin:0px 0px 10px">Deep Learning (architectures, generative models, deep reinforcement learning, etc.)</p></li><li style="margin-left:15px;box-sizing:border-box"><p style="box-sizing:border-box;margin:0px 0px 10px">Learning Theory (bandits, game theory, statistical learning theory, etc.)</p></li><li style="margin-left:15px;box-sizing:border-box"><p style="box-sizing:border-box;margin:0px 0px 10px">Optimization (convex and non-convex optimization, matrix/tensor methods, sparsity, etc.)</p></li><li style="margin-left:15px;box-sizing:border-box"><p style="box-sizing:border-box;margin:0px 0px 10px">Probabilistic Inference (Bayesian methods, graphical models, Monte Carlo methods, etc.)</p></li><li style="margin-left:15px;box-sizing:border-box"><p style="box-sizing:border-box;margin:0px 0px 10px">Trustworthy Machine Learning (accountability, causality, fairness, privacy, robustness, etc.)</p></li><li style="margin-left:15px;box-sizing:border-box"><p style="box-sizing:border-box;margin:0px 0px 10px">Applications (computational biology, crowdsourcing, healthcare, neuroscience, social good, climate science, etc.)</p></li></ol><p style="box-sizing:border-box;margin:0px 0px 10px;color:rgb(51,51,51);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:14px">We encourage the submission of papers that develop machine learning techniques to address socially relevant problems, ethical AI and AI safety.</p><p style="box-sizing:border-box;margin:0px 0px 10px;color:rgb(51,51,51);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:14px">Papers published at ICML are indexed in the <a href="http://proceedings.mlr.press/" target="_blank" style="color:rgb(51,122,183);box-sizing:border-box;background-color:transparent;text-decoration-line:none">Proceedings of Machine Learning Research</a> through the Journal of Machine Learning Research. Paper acceptance decisions are made without concern for funding, and authors of accepted papers receive priority for travel awards as needed. We have given eight weeks between notifications of paper acceptance and the conference to allow for visa processing, and will work to award travel funding for those who need visas as quickly as possible.</p><p style="box-sizing:border-box;margin:0px 0px 10px;color:rgb(51,51,51);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:14px"><span style="box-sizing:border-box;font-weight:700">Author and Style Instructions: </span>View author instructions, including policies around dual submission, anonymization, and style files at <a href="https://icml.cc/Conferences/2020/StyleAuthorInstructions" target="_blank" style="color:rgb(51,122,183);box-sizing:border-box;background-color:transparent;text-decoration-line:none">https://icml.cc/Conferences/2020/StyleAuthorInstructions</a>. Submitted papers that do not conform to these policies may be rejected without review.</p><p style="box-sizing:border-box;margin:0px 0px 10px;color:rgb(51,51,51);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:14px"><span style="box-sizing:border-box;font-weight:700">Email: </span>program-committee@icml.cc</p><p style="box-sizing:border-box;margin:0px 0px 10px;color:rgb(51,51,51);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:14px"><span style="box-sizing:border-box;font-weight:700">Program Chairs:</span><br style="box-sizing:border-box">Hal Daumé III (University of Maryland, Microsoft Research)<br style="box-sizing:border-box">Aarti Singh (Carnegie Mellon University)</p><p style="box-sizing:border-box;margin:0px 0px 10px;color:rgb(51,51,51);font-family:"Helvetica Neue",Helvetica,Arial,sans-serif;font-size:14px"><span style="box-sizing:border-box;font-weight:700">General Chair:</span><br style="box-sizing:border-box">David Blei (Columbia University)</p><div class="gmail-adL" style="color:rgb(0,0,0);font-size:medium"><br style="color:rgb(34,34,34);font-family:Roboto,RobotoDraft,Helvetica,Arial,sans-serif"></div><div class="gmail-yj6qo" style="color:rgb(0,0,0);font-size:medium;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration-style:initial;text-decoration-color:initial"></div></div></div></div></div>