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<p><b><span style="font-size:10.5pt;font-family:Roboto">***The 4th Workshop on Tractable Probabilistic Modeling (TPM) @ UAI 2021 (online)***</span></b><span style="font-size:10.5pt;font-family:Roboto"><o:p></o:p></span></p>
<p style="-webkit-tap-highlight-color: transparent;color:rgba(0, 0, 0, 0.87);font-variant-ligatures: normal;font-variant-caps: normal;orphans: 2;text-align:start;widows: 2;-webkit-text-stroke-width: 0px;text-decoration-thickness: initial;text-decoration-style: initial;text-decoration-color: initial;word-spacing:0px">
<span style="font-size:10.5pt;font-family:Roboto"><a href="https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsites.google.com%2Fview%2Ftpm2021%2Fhome&data=04%7C01%7CTahrima.Rahman%40utdallas.edu%7Ce5c9cd7c0ec447704e0108d900e78cb0%7C8d281d1d9c4d4bf7b16e032d15de9f6c%7C0%7C0%7C637541816782025779%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=tjRC7JShPtw8%2BVRN%2BtexLppkxF37Ti1hBhN9C2N4S%2B8%3D&reserved=0" target="_blank"><span style="color:#1A73E8">https://sites.google.com/view/tpm2021/home</span></a><br style="-webkit-tap-highlight-color: transparent">
<br>
<o:p></o:p></span></p>
<p style="-webkit-tap-highlight-color: transparent;color:rgba(0, 0, 0, 0.87);font-variant-ligatures: normal;font-variant-caps: normal;orphans: 2;text-align:start;widows: 2;-webkit-text-stroke-width: 0px;text-decoration-thickness: initial;text-decoration-style: initial;text-decoration-color: initial;word-spacing:0px">
<span style="font-size:10.5pt;font-family:Roboto"> <b><u>Important Dates</u></b><o:p></o:p></span></p>
<p style="-webkit-tap-highlight-color: transparent;color:rgba(0, 0, 0, 0.87);font-variant-ligatures: normal;font-variant-caps: normal;orphans: 2;text-align:start;widows: 2;-webkit-text-stroke-width: 0px;text-decoration-thickness: initial;text-decoration-style: initial;text-decoration-color: initial;word-spacing:0px">
<span style="font-size:10.5pt;font-family:Symbol">§</span><span style="font-size:10.5pt;font-family:Roboto;color:red"> <b>Paper submission deadline extended to:</b> </span><span style="font-size:10.5pt;font-family:Roboto">June 4, 2021 AOE (UTC-12:00h)<o:p></o:p></span></p>
<p style="-webkit-tap-highlight-color: transparent;color:rgba(0, 0, 0, 0.87);font-variant-ligatures: normal;font-variant-caps: normal;orphans: 2;text-align:start;widows: 2;-webkit-text-stroke-width: 0px;text-decoration-thickness: initial;text-decoration-style: initial;text-decoration-color: initial;word-spacing:0px">
<span style="font-size:10.5pt;font-family:Symbol">§</span><span style="font-size:10.5pt;font-family:Roboto"> <b>Notification to authors:</b> July 1, 2021<o:p></o:p></span></p>
<p style="-webkit-tap-highlight-color: transparent;color:rgba(0, 0, 0, 0.87);font-variant-ligatures: normal;font-variant-caps: normal;orphans: 2;text-align:start;widows: 2;-webkit-text-stroke-width: 0px;text-decoration-thickness: initial;text-decoration-style: initial;text-decoration-color: initial;word-spacing:0px">
<span style="font-size:10.5pt;font-family:Symbol">§</span><span style="font-size:10.5pt;font-family:Roboto"> <b>Camera-ready version:</b> July 27, 2021 AOE (UTC-12:00h) *<o:p></o:p></span></p>
<p style="-webkit-tap-highlight-color: transparent;color:rgba(0, 0, 0, 0.87);font-variant-ligatures: normal;font-variant-caps: normal;orphans: 2;text-align:start;widows: 2;-webkit-text-stroke-width: 0px;text-decoration-thickness: initial;text-decoration-style: initial;text-decoration-color: initial;word-spacing:0px">
<span style="font-size:10.5pt;font-family:Symbol">§</span><span style="font-size:10.5pt;font-family:Roboto"> <b>Workshop Date:</b> July 30, 2021<o:p></o:p></span></p>
<p style="-webkit-tap-highlight-color: transparent;color:rgba(0, 0, 0, 0.87);font-variant-ligatures: normal;font-variant-caps: normal;orphans: 2;text-align:start;widows: 2;-webkit-text-stroke-width: 0px;text-decoration-thickness: initial;text-decoration-style: initial;text-decoration-color: initial;word-spacing:0px">
<span style="font-size:10.5pt;font-family:Roboto"><o:p> </o:p></span></p>
<p style="-webkit-tap-highlight-color: transparent;color:rgba(0, 0, 0, 0.87);font-variant-ligatures: normal;font-variant-caps: normal;orphans: 2;text-align:start;widows: 2;-webkit-text-stroke-width: 0px;text-decoration-thickness: initial;text-decoration-style: initial;text-decoration-color: initial;word-spacing:0px">
<b><u><span style="font-size:10.5pt;font-family:Roboto">Overview</span></u></b><span style="font-size:10.5pt;font-family:Roboto"><o:p></o:p></span></p>
<p style="-webkit-tap-highlight-color: transparent;color:rgba(0, 0, 0, 0.87);font-variant-ligatures: normal;font-variant-caps: normal;orphans: 2;text-align:start;widows: 2;-webkit-text-stroke-width: 0px;text-decoration-thickness: initial;text-decoration-style: initial;text-decoration-color: initial;word-spacing:0px">
<span style="font-size:10.5pt;font-family:Roboto">There is an increasing need for probabilistic machine learning (ML) models that are able to deliver probabilistic inference with guarantees (<strong><span style="font-family:Roboto">reliability</span></strong>)
while allowing to flexibly represent complex real-world scenarios (<strong><span style="font-family:Roboto">expressiveness</span></strong>). This edition of the workshop on <strong><span style="font-family:Roboto">tractable probabilistic models</span></strong> (<strong><span style="font-family:Roboto">TPMs</span></strong>)
aims at bringing together researchers working on different fronts of this trade-off between reliable and expressive models in modern probabilistic ML.<o:p></o:p></span></p>
<p style="-webkit-tap-highlight-color: transparent;color:rgba(0, 0, 0, 0.87);font-variant-ligatures: normal;font-variant-caps: normal;orphans: 2;text-align:start;widows: 2;-webkit-text-stroke-width: 0px;text-decoration-thickness: initial;text-decoration-style: initial;text-decoration-color: initial;word-spacing:0px">
<span style="font-size:10.5pt;font-family:Roboto">Recent years have shown how TPMs can achieve such a sensible trade-off in tasks like image classification, completion and generation, activity recognition, language and speech modeling, bioinformatics, verification
and diagnosis of physical systems, to name but a few. Examples of TPMs comprise - but are not limited to - i) <strong><i><span style="font-family:Roboto">neural autoregressive models</span></i></strong>; ii) <strong><i><span style="font-family:Roboto">normalizing
flows</span></i></strong>; iii) <strong><i><span style="font-family:Roboto">bounded-treewidth probabilistic graphical models </span></i></strong>(PGMs); iv) <strong><i><span style="font-family:Roboto">determinantal point processes</span></i></strong>; v) <strong><i><span style="font-family:Roboto">PGMs
with high girth or weak potentials</span></i></strong>; vi) <strong><i><span style="font-family:Roboto">exchangeable probabilistic models</span></i></strong> and models exploiting symmetries and invariances and vii) <strong><i><span style="font-family:Roboto">probabilistic
circuits</span></i></strong> (arithmetic circuits, sum-product networks, probabilistic sentential decision diagrams, cutset networks, etc.).<o:p></o:p></span></p>
<p class="MsoNormal"><strong><u><span style="font-size:10.5pt;font-family:Roboto">Topics</span></u></strong><o:p></o:p></p>
<p><span style="font-size:10.5pt;font-family:Roboto">We especially encourage submissions highlighting the challenges and opportunities for tractable inference, including, but not limited to:<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:47.25pt;text-indent:-.25in;mso-list:l0 level1 lfo1">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><strong><i><span style="font-size:10.5pt;font-family:Roboto">New tractable representations</span></i></strong><span style="font-size:10.5pt;font-family:Roboto"> in discrete, continuous and hybrid domains,<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:47.25pt;text-indent:-.25in;mso-list:l0 level1 lfo1">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><strong><i><span style="font-size:10.5pt;font-family:Roboto">Learning algorithms</span></i></strong><span style="font-size:10.5pt;font-family:Roboto"> for TPMs<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:47.25pt;text-indent:-.25in;mso-list:l0 level1 lfo1">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><strong><i><span style="font-size:10.5pt;font-family:Roboto">Theoretical and empirical analysis</span></i></strong><span style="font-size:10.5pt;font-family:Roboto"> of tractable models<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:47.25pt;text-indent:-.25in;mso-list:l0 level1 lfo1">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><strong><i><span style="font-size:10.5pt;font-family:Roboto">Connections</span></i></strong><span style="font-size:10.5pt;font-family:Roboto"> between TPM classes<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:47.25pt;text-indent:-.25in;mso-list:l0 level1 lfo1">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="font-size:10.5pt;font-family:Roboto">TPMs for <strong><i><span style="font-family:Roboto">responsible, robust and explainable AI</span></i></strong><o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:47.25pt;text-indent:-.25in;mso-list:l0 level1 lfo1">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><strong><i><span style="font-size:10.5pt;font-family:Roboto">Retrospective works</span></i></strong><span style="font-size:10.5pt;font-family:Roboto">, tutorials, and surveys<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:47.25pt;text-indent:-.25in;mso-list:l0 level1 lfo1">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><strong><i><span style="font-size:10.5pt;font-family:Roboto">Approximate inference</span></i></strong><span style="font-size:10.5pt;font-family:Roboto"> algorithms with guarantees<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:47.25pt;text-indent:-.25in;mso-list:l0 level1 lfo1">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><strong><i><span style="font-size:10.5pt;font-family:Roboto">Tractable neuro-symbolic</span></i></strong><span style="font-size:10.5pt;font-family:Roboto"> and/or relational modeling<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:47.25pt;text-indent:-.25in;mso-list:l0 level1 lfo1">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><strong><i><span style="font-size:10.5pt;font-family:Roboto">Applications</span></i></strong><em><span style="font-size:10.5pt;font-family:Roboto"> of tractable probabilistic modeling</span></em><span style="font-size:10.5pt;font-family:Roboto"><o:p></o:p></span></p>
<p style="-webkit-tap-highlight-color: transparent;color:rgba(0, 0, 0, 0.87);font-variant-ligatures: normal;font-variant-caps: normal;orphans: 2;text-align:start;widows: 2;-webkit-text-stroke-width: 0px;text-decoration-thickness: initial;text-decoration-style: initial;text-decoration-color: initial;word-spacing:0px">
<span style="font-size:10.5pt;font-family:Roboto"> <strong><u><span style="font-family:Roboto">Submission Instructions</span></u></strong><o:p></o:p></span></p>
<p style="-webkit-tap-highlight-color: transparent;color:rgba(0, 0, 0, 0.87);font-variant-ligatures: normal;font-variant-caps: normal;orphans: 2;text-align:start;widows: 2;-webkit-text-stroke-width: 0px;text-decoration-thickness: initial;text-decoration-style: initial;text-decoration-color: initial;word-spacing:0px">
<span style="font-size:10.5pt;font-family:Roboto">We invite three types of submissions:<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:47.25pt;text-indent:-.25in;mso-list:l1 level1 lfo2">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><strong><span style="font-size:10.5pt;font-family:Roboto">Original research papers:</span></strong><span style="font-size:10.5pt;font-family:Roboto"> advances in TPM, not previously published in an archival conference or journal.<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:47.25pt;text-indent:-.25in;mso-list:l1 level1 lfo2">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><strong><span style="font-size:10.5pt;font-family:Roboto">Recently published research papers<i>:</i></span></strong><span style="font-size:10.5pt;font-family:Roboto"> advances in TPM, already published at a recent venue.<o:p></o:p></span></p>
<p class="MsoNormal" style="mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;margin-left:47.25pt;text-indent:-.25in;mso-list:l1 level1 lfo2">
<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><strong><span style="font-size:10.5pt;font-family:Roboto">Position papers (abstracts):<i> </i></span></strong><span style="font-size:10.5pt;font-family:Roboto">discussing tendencies, issues or future venues of interest for the TPM community.<o:p></o:p></span></p>
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<span style="font-size:10.5pt;font-family:Roboto">All submissions must be electronic (through the link below), and must closely follow the formatting guidelines at <a href="https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsites.google.com%2Fview%2Ftpm2021%2Fcall-for-papers&data=04%7C01%7CTahrima.Rahman%40utdallas.edu%7Ce5c9cd7c0ec447704e0108d900e78cb0%7C8d281d1d9c4d4bf7b16e032d15de9f6c%7C0%7C0%7C637541816782035777%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=VzvtVyW%2BSnnoUv4oNjK7h0K%2FhMeNlWZiK5Y%2BcAQoaJU%3D&reserved=0" target="_blank"><span style="color:#1A73E8">https://sites.google.com/view/tpm2021/call-for-papers</span></a>.
Reviewing for TPM 2021 is <strong><i><span style="font-family:Roboto">single-blind</span></i></strong>. We recommend that you refer to your prior work in the third person wherever possible. We also encourage links to public repositories such as github to share
code and/or data.<o:p></o:p></span></p>
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<b>Submission Link:</b> <a href="https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fopenreview.net%2Fgroup%3Fid%3Dauai.org%2FUAI%2F2021%2FWorkshop%2FTPM&data=04%7C01%7CTahrima.Rahman%40utdallas.edu%7Ce5c9cd7c0ec447704e0108d900e78cb0%7C8d281d1d9c4d4bf7b16e032d15de9f6c%7C0%7C0%7C637541816782045772%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=LTyUH3xJlsq50aCHDPcmmVYWiw2SxgZkXAiTCXgbf%2FY%3D&reserved=0" target="_blank"><span style="color:#1A73E8">https://openreview.net/group?id=auai.org/UAI/2021/Workshop/TPM</span></a><o:p></o:p></span></p>
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<span style="font-size:10.5pt;font-family:Roboto"> <b>***Accepted papers will be considered for the<strong><span style="font-family:Roboto"> best paper award***</span></strong></b><o:p></o:p></span></p>
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<b><u><span style="font-size:10.5pt;font-family:Roboto">Organizers</span></u></b><span style="font-size:10.5pt;font-family:Roboto"><o:p></o:p></span></p>
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<span style="font-size:10.5pt;font-family:Roboto">Antonio Vergari (University of California, Los Angeles)<o:p></o:p></span></p>
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<span style="font-size:10.5pt;font-family:Roboto">Tahrima Rahman (University of Texas, Dallas)<o:p></o:p></span></p>
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<span style="font-size:10.5pt;font-family:Roboto">Robert Peharz (TU Eindhoven)<o:p></o:p></span></p>
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<span style="font-size:10.5pt;font-family:Roboto">Alejandro Molina (TU Darmstadt)<o:p></o:p></span></p>
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<span style="font-size:10.5pt;font-family:Roboto">Pedram Rooshenas (University of North Carolina, Charlotte)<o:p></o:p></span></p>
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<span style="font-size:10.5pt;font-family:Roboto">Daniel Lowd (University of Oregon)<o:p></o:p></span></p>
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<span style="font-size:10.5pt;font-family:Roboto">Zoubin Ghahramani (Google AI) <o:p></o:p></span></p>
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<em><span style="font-size:10.5pt;font-family:Roboto">For any questions, contact us at </span></em><strong><i><span style="font-size:10.5pt;font-family:Roboto"><a href="https://groups.google.com/"><span style="color:#1A73E8">tpmwork...@gmail.com</span></a></span></i></strong><span style="font-size:10.5pt;font-family:Roboto"><o:p></o:p></span></p>
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<b><span style="font-size:10.5pt;font-family:Roboto">***Please consider sharing this CFP in your network***</span></b><span style="font-size:10.5pt;font-family:Roboto"><o:p></o:p></span></p>
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