<div dir="ltr"><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:12pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">D</span></font>ear all,</p><p style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:12pt">(Posting on behalf of the AISTATS 2021 organizing committee)<br></p><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:12pt">We invite submissions to the 2021 International Conference on Artificial Intelligence and Statistics (AISTATS), and welcome paper submissions on artificial intelligence, machine learning, statistics, and related ar<font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">eas. ar</span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:12pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Key dates</span></font></p><p dir="ltr" style="line-height:1.2;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">The tentative dates are as follow:</span></font></p><ul style="margin-top:0px;margin-bottom:0px"><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.38;margin-top:12pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Abstract submission: October 8, 2020, 08:00 AM PDT</span></font></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Paper submission date: October 15, 2020, 08:00 AM PDT</span></font></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Reviews released: November 23, 2020</span></font></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Author rebuttals due: November 28, 2020</span></font></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Final decisions: January 08, 2021</span></font></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:12pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Conference dates: April 13-15, 2021</span></font></p></li></ul><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:12pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Summary</span></font></p><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:12pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">AISTATS is an interdisciplinary gathering of researchers at the intersection of computer science, artificial intelligence, machine learning, statistics, and related areas. Since its inception in 1985, the primary goal of AISTATS has been to broaden research in these fields by promoting the exchange of ideas among them. We encourage the submission of all papers which are in keeping with this objective at AISTATS.</span></font></p><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:12pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Current website: </span><a href="https://www.aistats.org/aistats2021/" style="text-decoration:none" target="_blank"><span style="font-family:Arial;color:rgb(17,85,204);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">https://www.aistats.org/aistats2021/</span></a></font></p><h3 dir="ltr" style="line-height:1.38;margin-top:14pt;margin-bottom:4pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Paper Submission:</span></font></h3><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Proceedings track:</span><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> This is the standard AISTATS paper submission track. Papers will be selected via a rigorous double-blind peer-review process. All accepted papers will be presented at the Conference as contributed talks or as posters and will be published in the Proceedings.</span></font></p><p dir="ltr" style="line-height:1.38;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Solicited topics include, but are not limited to:</span></font></p><ul style="margin-top:0px;margin-bottom:0px"><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.38;margin-top:12pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Models and estimation: graphical models, causality, Gaussian processes, approximate inference, kernel methods, nonparametric models, statistical and computational learning theory, manifolds and embedding, sparsity and compressed sensing, ...</span></font></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Classification, regression, density estimation, unsupervised and semi-supervised learning, clustering, topic models, ...</span></font></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Structured prediction, relational learning, logic and probability</span></font></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Reinforcement learning, planning, control</span></font></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Game theory, no-regret learning, multi-agent systems</span></font></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Algorithms and architectures for high-performance computation in AI and statistics</span></font></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Software for and applications of AI and statistics</span></font></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Deep learning including optimization, generalization and architectures</span></font></p></li><li dir="ltr" style="list-style-type:disc;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:12pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Trustworthy learning, including learning with privacy and fairness, interpretability, and robustness</span></font></p></li></ul><h3 dir="ltr" style="line-height:1.38;margin-top:14pt;margin-bottom:4pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Formatting and Supplementary Material</span></font></h3><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Submissions are limited to 8 pages </span><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:italic;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">excluding</span><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> references using the LaTeX style file we provide. The number of pages containing citations alone is not limited. You can also submit a single file of additional supplementary material which may be either a pdf file (such as proof details) or a zip file for other formats/more files (such as code or videos). Note that reviewers are under no obligation to examine your supplementary material. If you have only one supplementary pdf file, please upload it as is; otherwise gather everything to the single zip file.</span></font></p><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Submissions will be through CMT (</span><a href="https://cmt3.research.microsoft.com/AISTATS2021" style="text-decoration:none" target="_blank"><span style="font-family:Arial;color:rgb(17,85,204);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">https://cmt3.research.microsoft.com/AISTATS2021</span></a><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">) and </span><b><span style="font-family:Arial;color:rgb(0,0,0);background-color:rgb(255,255,0);font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">will be open a month</span></b><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> before the abstract submission deadline.</span></font></p><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Formatting information (including LaTeX style files) </span><b><span style="font-family:Arial;color:rgb(0,0,0);background-color:rgb(255,255,0);font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">will be made available</span></b><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"><b>.</b> We do not support submission in preparation systems other than LaTeX. Please do not modify the layout given by the style file. If you have questions about the style file or its usage, please contact the publications chair.</span></font></p><h3 dir="ltr" style="line-height:1.38;margin-top:14pt;margin-bottom:4pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Anonymization Requirements</span></font></h3><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">The AISTATS review process is double-blind. Please remove all identifying information from your submission, including author names, affiliations, and any acknowledgments. Self-citations can present a special problem: we recommend leaving in a moderate number of self-citations for published or otherwise well-known work. For unpublished or less-well-known work, or for large numbers of self-citations, it is up to the author's discretion how best to preserve anonymity. Possibilities include leaving out a citation altogether, including it but replacing the citation text with "removed for anonymous submission," or leaving the citation as-is; authors should choose for each citation the treatment which is least likely to reveal authorship.</span></font></p><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Previous tech-report or workshop versions of a paper can similarly present a problem for anonymization. We suggest </span><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:italic;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">leaving out</span><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> any identifying information for such versions, but bringing them to the attention of the program committee via the submission page. Reviewers will be instructed that tech reports (including reports on sites such as</span><a href="http://arxiv.org/" style="text-decoration:none" target="_blank"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> </span><span style="font-family:Arial;color:rgb(17,85,204);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">arXiv</span></a><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">) and papers in workshops without archival proceedings do not count as prior publication.</span></font></p><h3 dir="ltr" style="line-height:1.38;margin-top:14pt;margin-bottom:4pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Previous or Concurrent Submissions</span></font></h3><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Submitted manuscripts should not have been previously published in a journal or in the proceedings of a conference, and should not be under consideration for publication at another conference at any point during the AISTATS review process. It is acceptable to have a substantially extended version of the submitted paper under consideration simultaneously for journal publication, so long as the journal version's planned publication date is in </span><b><span style="font-family:Arial;color:rgb(0,0,0);background-color:rgb(255,255,0);font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">May 2021</span></b><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> or later, the journal submission does not interfere with AISTATS's right to publish the paper, and the situation is clearly described at the time of AISTATS submission. Please describe the situation in the appropriate box on the submission page (and do not include author information in the submission itself, to avoid accidental unblinding).</span></font></p><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">As mentioned above, reviewers will be instructed that tech reports (including reports on sites such as arXiv) and papers in workshops without archival proceedings do not count as prior publication.</span></font></p><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:12pt;margin-bottom:12pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">All accepted papers will be presented at the Conference either as contributed talks or as posters, and will be published in the AISTATS Conference Proceedings in the Journal of Machine Learning Research Workshop and Conference Proceedings series. Papers for talks and posters will be treated equally in publication.</span></font></p>Please contact us with any questions at <a href="mailto:aistats2021pc@gmail.com" target="_blank">aistats2021pc@gmail.com</a>.<div><font size="2"><span style="font-size:11pt;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap" id="m_-3338199716672103173gmail-docs-internal-guid-6110a9a2-7fff-7857-9cd6-50189fe792c1"><br></span></font></div><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Arindam Banerjee and Kenji Fukumizu</span></font></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><font size="2"><span style="font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">AISTATS 2021 Program Chairs</span></font></p></div>