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We invite submissions of papers addressing theoretical aspects of machine learning, broadly defined as a subject at the intersection of computer science, statistics and applied mathematics. We strongly support an inclusive view of learning theory, including fundamental theoretical aspects of learnability in various contexts, and theory that sheds light on empirical phenomena. The topics include but are not limited to: Design and analysis of learning algorithms Statistical and computational complexity of learning Optimization methods for learning, including online and stochastic optimization Theory of artificial neural networks, including deep learning Theoretical explanation of empirical phenomena in learning Supervised learning Unsupervised, semi-supervised learning, domain adaptation Learning geometric and topological structures in data, manifold learning Active and interactive learning Reinforcement learning Online learning and decision-making Interactions of learning theory with other mathematical fields High-dimensional and non-parametric statistics Kernel methods Causality Theoretical analysis of probabilistic graphical models Bayesian methods in learning Game theory and learning Learning with system constraints (e.g., privacy, fairness, memory, communication) Learning from complex data (e.g., networks, time series) Learning in neuroscience, social science, economics and other subjects Submissions by authors who are new to COLT are encouraged. While the primary focus of the conference is theoretical, authors are welcome to support their analysis with relevant experimental results. Accepted papers will be presented at the conference. At least one author of each accepted paper should present the work at the conference. Accepted papers will be published electronically in the Proceedings of Machine Learning Research (PMLR). Authors of accepted papers will have the option of opting out of the proceedings in favor of a 1-page extended abstract, which will point to an open access archival version of the full paper reviewed for COLT.</pre><div class="alert alert-warning"> Last updated by <a href="/researcher/1">Dou Sun</a> in 2024-12-18</div> </div> </div>  <div class="portlet" id="yw2"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-signal"></i> Acceptance Ratio</div> </div> <div class="portlet-content"> <div class="row-fluid"> <div class="span8"> <div id="placeholder" style="height:240px"></div> <script type="text/javascript"> $(function() { var data = [ ['2000', 36], ['2002', 47.3], ['2003', 53.3], ['2004', 41.1], ['2005', 37.5], ['2006', 42.2], ['2007', 44.6], ['2008', 34.9], ['2012', 32.5], ['2013', 35.9], ['2014', 37.1], ['2015', 34.8], ['2016', 26.1], ['2017', 32.5], ['2018', 27.2], ['2019', 30], ['2020', 30.9] ]; var ticks = [ ['2000', '2000'], ['2002', '2002'], ['2003', '2003'], ['2004', '2004'], ['2005', '2005'], ['2006', '2006'], ['2007', '2007'], ['2008', '2008'], ['2012', '2012'], ['2013', '2013'], ['2014', '2014'], ['2015', '2015'], ['2016', '2016'], ['2017', '2017'], ['2018', '2018'], ['2019', '2019'], ['2020', '2020'] ]; $.plot("#placeholder", [ data ], { series: { bars: { show: true, barWidth: 0.6, align: "center" } }, xaxis: { ticks: ticks, tickLength: 0 }, yaxis: { max: 100, tickFormatter: function (v, axis) { return v + "%"; } } }); }); </script> </div> <div class="span4"> <div style="height:240px;overflow:scroll"> <div id="yw3" class="grid-view"> <table class="table table-hover table-striped table-bordered table-condensed"> <thead> <tr> <th id="yw3_c0">Year</th><th id="yw3_c1">Submitted</th><th id="yw3_c2">Accepted</th><th id="yw3_c3">Accepted(%)</th></tr> </thead> <tbody> <tr class="odd"> <td>2020</td><td>388</td><td>120</td><td>30.9%</td></tr> <tr class="even"> <td>2019</td><td>393</td><td>118</td><td>30%</td></tr> <tr class="odd"> <td>2018</td><td>335</td><td>91</td><td>27.2%</td></tr> <tr class="even"> <td>2017</td><td>228</td><td>74</td><td>32.5%</td></tr> <tr class="odd"> <td>2016</td><td>203</td><td>53</td><td>26.1%</td></tr> <tr class="even"> <td>2015</td><td>178</td><td>62</td><td>34.8%</td></tr> <tr class="odd"> <td>2014</td><td>140</td><td>52</td><td>37.1%</td></tr> <tr class="even"> <td>2013</td><td>131</td><td>47</td><td>35.9%</td></tr> <tr class="odd"> <td>2012</td><td>126</td><td>41</td><td>32.5%</td></tr> <tr class="even"> <td>2008</td><td>126</td><td>44</td><td>34.9%</td></tr> <tr class="odd"> <td>2007</td><td>92</td><td>41</td><td>44.6%</td></tr> <tr class="even"> <td>2006</td><td>102</td><td>43</td><td>42.2%</td></tr> <tr class="odd"> <td>2005</td><td>120</td><td>45</td><td>37.5%</td></tr> <tr class="even"> <td>2004</td><td>107</td><td>44</td><td>41.1%</td></tr> <tr class="odd"> <td>2003</td><td>92</td><td>49</td><td>53.3%</td></tr> <tr class="even"> <td>2002</td><td>55</td><td>26</td><td>47.3%</td></tr> <tr class="odd"> <td>2000</td><td>172</td><td>62</td><td>36%</td></tr> </tbody> </table><div class="keys" style="display:none" title="/conference/415"><span>3688</span><span>3689</span><span>3484</span><span>3308</span><span>3309</span><span>3310</span><span>3143</span><span>3144</span><span>3145</span><span>2841</span><span>2840</span><span>2839</span><span>2838</span><span>2837</span><span>2836</span><span>2835</span><span>2834</span></div> </div></div> </div> </div> </div> </div> <div class="portlet" id="yw4"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-thumbs-up"></i> Best Papers</div> </div> <div class="portlet-content"> <div id="yw5" class="grid-view"> <table class="table table-hover table-striped table-bordered table-condensed"> <thead> <tr> <th id="yw5_c0">Year</th><th id="yw5_c1">Best Papers</th></tr> </thead> <tbody> <tr class="odd"> <td>2010</td><td><a target="_blank" href="http://scholar.google.com/scholar?q=Theoretical+Justification+of+Popular+Link+Prediction+Heuristics">Theoretical Justification of Popular Link Prediction Heuristics</a></td></tr> <tr class="even"> <td>1998</td><td><a target="_blank" href="http://scholar.google.com/scholar?q=Combining+Labeled+and+Unlabeled+Sata+with+Co-Training">Combining Labeled and Unlabeled Sata with Co-Training</a></td></tr> </tbody> </table><div class="keys" style="display:none" title="/conference/415"><span>365</span><span>364</span></div> </div></div> </div> <div class="portlet" id="yw7"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-th"></i> Related Conferences</div> </div> <div class="portlet-content"> <div class="hidden-phone"> <div id="yw8" class="grid-view"> <table class="table table-hover table-striped table-bordered table-condensed"> <thead> <tr> <th id="yw8_c0">CCF</th><th id="yw8_c1">CORE</th><th id="yw8_c2">QUALIS</th><th id="yw8_c3">Short</th><th id="yw8_c4">Full Name</th><th id="yw8_c5">Submission</th><th id="yw8_c6">Notification</th><th id="yw8_c7">Conference</th></tr> </thead> <tbody> <tr class="odd"> <td><span class="badge badge-warning">b</span></td><td><span class="badge badge-warning">a</span></td><td><span class="badge badge-warning">a2</span></td><td>ECAI</td><td><a href="/conference/414">European Conference on Artificial Intelligence</a></td><td>2024-04-19</td><td>2024-07-04</td><td>2024-10-19</td></tr> <tr class="even"> <td></td><td></td><td></td><td>BMSB</td><td><a href="/conference/1197">International Symposium on Broadband Multimedia Systems and Broadcasting</a></td><td>2024-12-06</td><td>2025-01-24</td><td>2025-06-11</td></tr> <tr class="odd"> <td></td><td><span class="badge badge-warning">c</span></td><td></td><td>SPICE</td><td><a href="/conference/2420">Software Process Improvement and Capability Determination</a></td><td>2017-06-12</td><td>2017-07-07</td><td>2017-10-04</td></tr> <tr class="even"> <td></td><td></td><td></td><td>NordiCHI</td><td><a href="/conference/3667">Nordic forum for Human-Computer Interaction</a></td><td>2020-04-22</td><td>2020-06-23</td><td>2020-10-25</td></tr> <tr class="odd"> <td></td><td></td><td></td><td>PEPSC</td><td><a href="/conference/4528">Power Electronics and Power System Conference</a></td><td>2025-09-15</td><td> </td><td>2025-11-13</td></tr> <tr class="even"> <td></td><td></td><td></td><td>ICST'</td><td><a href="/conference/5">International Conference on Sensing Technology</a></td><td>2018-07-21</td><td>2018-08-30</td><td>2018-12-03</td></tr> <tr class="odd"> <td></td><td></td><td></td><td>SEAS</td><td><a href="/conference/3571">International Conference on Software Engineering and Applications</a></td><td>2023-09-09</td><td>2023-09-19</td><td>2023-09-23</td></tr> <tr class="even"> <td></td><td></td><td></td><td>CCWC</td><td><a href="/conference/2511">IEEE Annual Computing and Communication Workshop and Conference</a></td><td>2024-11-15</td><td>2024-11-27</td><td>2025-01-06</td></tr> <tr class="odd"> <td></td><td></td><td></td><td>PARC</td><td><a href="/conference/3598">International Conference on Power Electronics & IoT Applications in Renewable Energy and Its Control</a></td><td>2020-01-15</td><td>2020-01-25</td><td>2020-02-28</td></tr> <tr class="even"> <td></td><td></td><td></td><td>WebMedia</td><td><a href="/conference/2821">Brazilian Symposium on Multimedia and the Web</a></td><td>2020-08-01</td><td>2020-10-10</td><td>2020-11-30</td></tr> </tbody> </table><div class="keys" style="display:none" title="/conference/415"><span>414</span><span>1197</span><span>2420</span><span>3667</span><span>4528</span><span>5</span><span>3571</span><span>2511</span><span>3598</span><span>2821</span></div> </div></div> <div class="visible-phone"> <div id="yw9" class="grid-view"> <table class="table table-hover table-striped table-bordered table-condensed"> <thead> <tr> <th id="yw9_c0">Short</th><th 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title="/conference/415"><span>414</span><span>1197</span><span>2420</span><span>3667</span><span>4528</span><span>5</span><span>3571</span><span>2511</span><span>3598</span><span>2821</span></div> </div></div> </div> </div> <div class="portlet" id="yw10"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-file"></i> Related Journals</div> </div> <div class="portlet-content"> <div class="hidden-phone"> <div id="yw11" class="grid-view"> <table class="table table-hover table-striped table-bordered table-condensed"> <thead> <tr> <th id="yw11_c0">CCF</th><th id="yw11_c1">Full Name</th><th id="yw11_c2">Impact Factor</th><th id="yw11_c3">Publisher</th><th id="yw11_c4">ISSN</th></tr> </thead> <tbody> <tr class="odd"> <td></td><td><a href="/journal/962">Combinatorial Chemistry & High Throughput Screening</a></td><td></td><td>Bentham</td><td>1386-2073</td></tr> <tr class="even"> <td></td><td><a href="/journal/928">Law, Innovation and 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