<div dir="ltr"><div class="gmail_quote"><div class="msg5699464146090065597"><div dir="ltr"><div id="m_8382067307191052905divRplyFwdMsg" dir="ltr">Oi, pessoal,</div><div id="m_8382067307191052905divRplyFwdMsg" dir="ltr"><br></div><div id="m_8382067307191052905divRplyFwdMsg" dir="ltr">Na quinta-feira às 16h o Paulo Orestein (IMPA) vai falar no seminário da Escola de Matemática Aplicada da Fundação Getulio Vargas (FGV EMAp) sobre o trabalho que ele vem fazendo em Machine Learning.</div><div id="m_8382067307191052905divRplyFwdMsg" dir="ltr"><br></div><div id="m_8382067307191052905divRplyFwdMsg" dir="ltr">Convido vocês a comparecerem presencialmente ou on-line (via híbrida).</div><div id="m_8382067307191052905divRplyFwdMsg" dir="ltr"><br></div><div id="m_8382067307191052905divRplyFwdMsg" dir="ltr">Cordialmente,</div><div id="m_8382067307191052905divRplyFwdMsg" dir="ltr"><br></div><div id="m_8382067307191052905divRplyFwdMsg" dir="ltr">Luiz<br><div> </div>
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<p align="center" style="text-align:center"><strong><span style="font-size:14.0pt;font-family:"Arial",sans-serif;color:#dae3f3">SEMINÁRIO ACADÊMICO - HÍBRIDO</span></strong><span style="font-size:14.0pt;font-family:"Arial",sans-serif;color:#dae3f3"></span></p>
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<p align="center" style="text-align:center"><b><span style="font-size:14.0pt;font-family:"Arial",sans-serif;color:#dae3f3">SPLIT CONFORMAL PREDICTION AND ITS EXTENSIONS TO NON-EXCHANGEABLE DATA</span></b></p>
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<p><span style="font-size:13.5pt;color:black"><img width="50" height="35" id="m_8382067307191052905x_Imagem_x0020_3" alt="calendario" style="width:.5208in;height:.3645in" src="cid:186f42e93d2692e332"></span><span style="font-size:12.0pt"></span></p>
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<p style="margin:0cm;margin-bottom:.0001pt;line-height:15.75pt"><span style="font-size:10.5pt;font-family:"Arial",sans-serif">23<span style="color:white">/</span>03<span style="color:white">/202</span>3</span><span style="font-size:12.0pt;font-family:"Times New Roman",serif"></span></p>
<p style="margin:0cm;margin-bottom:.0001pt;line-height:15.75pt"><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:white">quinta-feira</span><span style="font-size:12.0pt;font-family:"Times New Roman",serif"></span></p>
<p style="margin:0cm;margin-bottom:.0001pt;line-height:15.75pt"><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:white">16h</span><span style="font-size:12.0pt;font-family:"Times New Roman",serif"></span></p>
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<p><span style="font-size:13.5pt;color:black"><img width="50" height="35" id="m_8382067307191052905x_Imagem_x0020_4" alt="icone" style="width:.5208in;height:.3645in" src="cid:186f42e93d27745b43"></span><span style="font-size:12.0pt"></span></p>
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<p style="margin:0cm;margin-bottom:.0001pt;line-height:15.75pt"><strong><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:white">Onde:</span></strong><strong><span style="font-size:10.5pt;font-family:"Arial",sans-serif"></span></strong></p>
<p style="margin:0cm;margin-bottom:.0001pt;line-height:15.75pt"><strong><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:white">a) Opção presencial *</span></strong><span style="font-size:12.0pt;font-family:"Times New Roman",serif"></span></p>
<p style="margin:0cm;margin-bottom:.0001pt;line-height:15.75pt"><strong><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:white">Praia de Botafogo, 190
</span></strong><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:white"><br>
5^o andar, Auditório 537</span><span style="font-size:12.0pt;font-family:"Times New Roman",serif"></span></p>
<p style="margin:0cm;margin-bottom:.0001pt;line-height:15.75pt"><b><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:white"> </span></b></p>
<p style="margin:0cm;margin-bottom:.0001pt;line-height:15.75pt"><b><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:white">b) Opção remota
</span></b><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:white">(via Zoom)</span><span style="font-size:10.5pt;font-family:"Arial",sans-serif"></span></p>
<p style="margin:0cm;margin-bottom:.0001pt;line-height:15.75pt"><b><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:white">Link:</span></b><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:white">
</span><span style="font-size:10.5pt;font-family:"Arial",sans-serif"></span></p>
<p style="margin:0cm;margin-bottom:.0001pt;line-height:15.75pt"><span style="font-size:10.0pt;font-family:"Times New Roman",serif"><a href="https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Ffgv-br.zoom.us%2Fj%2F98150756795%3Fpwd%3DQ28vd3o3K291MmpKa0o1SmZXaXY1QT09&data=05%7C01%7Cluiz.fagundes%40fgv.br%7Cbec866015d3e444dacc808db264c978a%7C79f6b639ab1242808077bdbeef869b33%7C0%7C0%7C638145882658011445%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=aSt4j83nPjOgGSXIEQDtWBULgMH5m08SpNB2nf5s4iQ%3D&reserved=0" target="_blank"><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:white">https://fgv-br.zoom.us/j/98150756795?pwd=Q28vd3o3K291MmpKa0o1SmZXaXY1QT09</span></a></span><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:white"></span></p>
<p style="margin:0cm;margin-bottom:.0001pt;line-height:15.75pt"><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:white">ID: 981 5075 6795</span></p>
<p style="margin:0cm;margin-bottom:.0001pt;line-height:15.75pt"><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:white">Passcode: 546819</span><span style="font-size:10.0pt;font-family:"Times New Roman",serif"></span></p>
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<p style="text-align:justify"><span style="font-size:10.5pt;font-family:"Arial",sans-serif"><font color="#ffffff">Machine learning algorithms offer state-of-the-art predictive performance in a variety of domains, but often lack an associated measure of uncertainty
 regarding its predictions. Split conformal prediction is a leading tool to obtain predictive intervals with virtually no assumptions beyond data exchangeability. This crucial assumption, however, hinders its applicability to many important data, such as time
 series and spatially dependent processes. In this talk, we will introduce split CP and show how it can be extended to non-exchangeable settings through a small coverage penalty. The proposed framework, based on data decoupling and concentration of measure
 inequalities, works more generally than traditional split CP, and experiments corroborate our coverage guarantees even under highly dependent data. This is joint work with Roberto Imbuzeiro Oliveira, Thiago Ramos and João Vitor Romano.</font></span></p>
<p align="right" style="text-align:right">_{<span style="font-size:10.0pt;font-family:"Arial",sans-serif;color:white">Texto informado pelo autor</span>}_{<span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:white">.</span>}<span style="font-size:12.0pt;color:white"></span></p>
<p style="text-align:justify;line-height:115%"><b><span style="font-size:12.0pt;line-height:115%;font-family:"Arial",sans-serif"> </span></b></p>
<p style="text-align:justify;line-height:115%"><b><span style="font-size:12.0pt;line-height:115%;font-family:"Arial",sans-serif;color:white">Palestrante:</span></b><span style="font-size:12.0pt;line-height:115%;color:white"></span></p>
<p style="text-align:justify"><span style="font-size:10.5pt;font-family:"Arial",sans-serif"><font color="#f3f3f3">Paulo Orestein - I'm an assistant professor at IMPA. My research is focused on the interplay between statistics, probability, and computation.
 On the theory side, I am interested in high-dimensional Bayesian models, Monte Carlo methods and robust mean estimation. On the applications side, I have been using machine learning to extend weather forecasts into the subseasonal realm. I enjoy working on
 both theoretical and applied projects, and find them to often illuminate each other. Before coming to IMPA, I obtained a PhD in Statistics at Stanford University, advised by Persi Diaconis, and received a Masters in Mathematics and BSc in Economics, both from
 PUC-Rio, in Brazil. I also spent a quarter at Google Research and another at Meta Reality Labs.</font></span></p>
<p style="text-align:justify;line-height:115%"><span style="font-size:5.0pt;line-height:115%"> </span></p>
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<span style="font-size:9.0pt;font-family:"Arial",sans-serif;color:white">* Os participantes dos seminários não poderão acessar as dependências da FGV usando bermuda, chinelos, blusa modelo top ou cropped, minissaia ou camiseta regata. O uso da máscara é facultativo,
 porém é obrigatória a apresentação do comprovante de vacinação (físico ou digital).</span></p>
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<p align="center" style="text-align:center;line-height:10.5pt"><span style="font-size:10.0pt;font-family:"Times New Roman",serif"><a href="mailto:emap@fgv.br" target="_blank"><b><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:#152f4e">emap@fgv.br</span></b></a></span><strong><span style="font-size:10.5pt;font-family:"Arial",sans-serif;color:#152f4e">
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<p> </p>
<p style="margin-bottom:12.0pt;background:white"> </p>
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</div></div><br clear="all"><div><br></div><span class="gmail_signature_prefix">-- </span><br><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div dir="ltr" style="color:rgb(80,0,80)"><div dir="ltr">Luiz Max Fagundes de Carvalho</div><div dir="ltr">Lecturer, School of Applied Mathematics (EMAp), Getúlio Vargas Foundation (FGV), Brazil.</div><div dir="ltr">Praia de Botafogo, 190, Sala 511, Rio de Janeiro, RJ 22250-900.</div><div dir="ltr">Brazil</div></div></div></div></div></div></div>