<div dir="ltr"><p style="margin:0px;color:rgb(32,31,30);font-size:11pt;font-family:Calibri,sans-serif"><span style="margin:0px;padding:0px;border:0px;font-family:inherit;font-size:12pt;font-style:inherit;font-variant-caps:inherit;font-weight:inherit;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:black">Laplace's Demon: Bayesian Machine Learning at Scale has a few announcements.</span></p><div style="margin:0px;padding:0px;border:0px;font-family:Calibri,Arial,Helvetica,sans-serif;font-size:15px;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:rgb(32,31,30)"><p style="margin:0px;font-size:11pt;font-family:Calibri,sans-serif"><span style="margin:0px;padding:0px;border:0px;font-family:inherit;font-size:12pt;font-style:inherit;font-variant-caps:inherit;font-weight:inherit;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:black"> </span></p></div><div style="margin:0px;padding:0px;border:0px;font-family:Calibri,Arial,Helvetica,sans-serif;font-size:15px;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:rgb(32,31,30)"><p style="margin:0px;font-size:11pt;font-family:Calibri,sans-serif"><span style="margin:0px;padding:0px;border:0px;font-family:inherit;font-size:12pt;font-style:inherit;font-variant-caps:inherit;font-weight:inherit;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:black">Firstly registration is now open for Jake Hofman 17 June talk: "How visualizing inferential uncertainty can mislead readers about treatment effects in scientific results".  Jake is a Senior Principal Researcher at Microsoft Research, New York.  We very much look forward to his insights on visualizing uncertainty.  It is at 15.00 UTC, to see it in your local time zone please go to the registration page.  The talk is on this Wednesday.  Please register at: <a href="https://ailab.criteo.com/laplaces-demon-bayesian-machine-learning-at-scale/">https://ailab.criteo.com/laplaces-demon-bayesian-machine-learning-at-scale/</a></span></p></div><div style="margin:0px;padding:0px;border:0px;font-family:Calibri,Arial,Helvetica,sans-serif;font-size:15px;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:rgb(32,31,30)"><p style="margin:0px;font-size:11pt;font-family:Calibri,sans-serif"><span style="margin:0px;padding:0px;border:0px;font-family:inherit;font-size:12pt;font-style:inherit;font-variant-caps:inherit;font-weight:inherit;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:black"> </span></p></div><div style="margin:0px;padding:0px;border:0px;font-family:Calibri,Arial,Helvetica,sans-serif;font-size:15px;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:rgb(32,31,30)"><p style="margin:0px;font-size:11pt;font-family:Calibri,sans-serif"><span style="margin:0px;padding:0px;border:0px;font-family:inherit;font-size:12pt;font-style:inherit;font-variant-caps:inherit;font-weight:inherit;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:black">Secondly Christian Robert's talk on approximate Bayesian computation is now online.  Christian not only presents state of results showing ABC using Gibbs like steps, but also takes time to give the basis of ABC methods and takes many questions.  <a href="https://www.youtube.com/watch?v=Aq4juvSsz9Y">https://www.youtube.com/watch?v=Aq4juvSsz9Y</a></span></p></div><div style="margin:0px;padding:0px;border:0px;font-family:Calibri,Arial,Helvetica,sans-serif;font-size:15px;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:rgb(32,31,30)"><p style="margin:0px;font-size:11pt;font-family:Calibri,sans-serif"><span style="margin:0px;padding:0px;border:0px;font-family:inherit;font-size:12pt;font-style:inherit;font-variant-caps:inherit;font-weight:inherit;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:black"> </span></p></div><div style="margin:0px;padding:0px;border:0px;font-family:Calibri,Arial,Helvetica,sans-serif;font-size:15px;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:rgb(32,31,30)"><p style="margin:0px;font-size:11pt;font-family:Calibri,sans-serif"><span style="margin:0px;padding:0px;border:0px;font-family:inherit;font-size:12pt;font-style:inherit;font-variant-caps:inherit;font-weight:inherit;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:black">Finally we have a new website, giving details of upcoming talks including A/Prof Aki Vehatari's 24 June on "Use of reference models in variable selection".  <a href="https://ailab.criteo.com/laplaces-demon-bayesian-machine-learning-at-scale/">https://ailab.criteo.com/laplaces-demon-bayesian-machine-learning-at-scale/</a></span></p></div><div style="margin:0px;padding:0px;border:0px;font-family:Calibri,Arial,Helvetica,sans-serif;font-size:15px;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:rgb(32,31,30)"><p style="margin:0px;font-size:11pt;font-family:Calibri,sans-serif"><span style="margin:0px;padding:0px;border:0px;font-family:inherit;font-size:12pt;font-style:inherit;font-variant-caps:inherit;font-weight:inherit;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:black"> </span></p></div><div style="margin:0px;padding:0px;border:0px;font-family:Calibri,Arial,Helvetica,sans-serif;font-size:15px;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:rgb(32,31,30)"><p style="margin:0px;font-size:11pt;font-family:Calibri,sans-serif"><span style="margin:0px;padding:0px;border:0px;font-family:inherit;font-size:12pt;font-style:inherit;font-variant-caps:inherit;font-weight:inherit;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:black">Also upcoming:</span></p></div><div style="margin:0px;padding:0px;border:0px;font-family:Calibri,Arial,Helvetica,sans-serif;font-size:15px;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:rgb(32,31,30)"><p style="margin:0px;font-size:11pt;font-family:Calibri,sans-serif"><span style="margin:0px;padding:0px;border:0px;font-family:inherit;font-size:12pt;font-style:inherit;font-variant-caps:inherit;font-weight:inherit;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:black"> </span></p></div><div style="margin:0px;padding:0px;border:0px;font-family:Calibri,Arial,Helvetica,sans-serif;font-size:15px;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:rgb(32,31,30)"><p style="margin:0px;font-size:11pt;font-family:Calibri,sans-serif"><span style="margin:0px;padding:0px;border:0px;font-family:inherit;font-size:12pt;font-style:inherit;font-variant-caps:inherit;font-weight:inherit;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:black">17 Jun, Jake Hofman, "How visualizing inferential uncertainty can mislead readers about treatment effects in scientific results"</span></p></div><div style="margin:0px;padding:0px;border:0px;font-family:Calibri,Arial,Helvetica,sans-serif;font-size:15px;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:rgb(32,31,30)"><p style="margin:0px;font-size:11pt;font-family:Calibri,sans-serif"><span style="margin:0px;padding:0px;border:0px;font-family:inherit;font-size:12pt;font-style:inherit;font-variant-caps:inherit;font-weight:inherit;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:black">24 Jun, Aki Vehtari, "Use of reference models in variable selection"</span></p></div><div style="margin:0px;padding:0px;border:0px;font-family:Calibri,Arial,Helvetica,sans-serif;font-size:15px;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:rgb(32,31,30)"><p style="margin:0px;font-size:11pt;font-family:Calibri,sans-serif"><span style="margin:0px;padding:0px;border:0px;font-family:inherit;font-size:12pt;font-style:inherit;font-variant-caps:inherit;font-weight:inherit;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:black">1 Jul John Ormerod</span></p></div><div style="margin:0px;padding:0px;border:0px;font-family:Calibri,Arial,Helvetica,sans-serif;font-size:15px;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:rgb(32,31,30)"><p style="margin:0px;font-size:11pt;font-family:Calibri,sans-serif"><span style="margin:0px;padding:0px;border:0px;font-family:inherit;font-size:12pt;font-style:inherit;font-variant-caps:inherit;font-weight:inherit;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:black">8 Jul Victor Elvira<span style="margin:0px;padding:0px;border:0px;font-family:inherit;font-size:inherit;font-style:inherit;font-variant-caps:inherit;font-weight:inherit;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:inherit"> </span></span></p></div><div style="margin:0px;padding:0px;border:0px;font-family:Calibri,Arial,Helvetica,sans-serif;font-size:15px;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:rgb(32,31,30)"><p style="margin:0px;font-size:11pt;font-family:Calibri,sans-serif"><span style="margin:0px;padding:0px;border:0px;font-family:inherit;font-size:12pt;font-style:inherit;font-variant-caps:inherit;font-weight:inherit;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:black">29 Jul Cheng Zhang<span style="margin:0px;padding:0px;border:0px;font-family:inherit;font-size:inherit;font-style:inherit;font-variant-caps:inherit;font-weight:inherit;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:inherit"> </span></span></p></div><div style="margin:0px;padding:0px;border:0px;font-family:Calibri,Arial,Helvetica,sans-serif;font-size:15px;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:rgb(32,31,30)"><p style="margin:0px;font-size:11pt;font-family:Calibri,sans-serif"><span style="margin:0px;padding:0px;border:0px;font-family:inherit;font-size:12pt;font-style:inherit;font-variant-caps:inherit;font-weight:inherit;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:black">26 Aug Andrew Gelman<span style="margin:0px;padding:0px;border:0px;font-family:inherit;font-size:inherit;font-style:inherit;font-variant-caps:inherit;font-weight:inherit;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:inherit"> </span></span></p></div><div style="margin:0px;padding:0px;border:0px;font-family:Calibri,Arial,Helvetica,sans-serif;font-size:15px;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:rgb(32,31,30)"><p style="margin:0px;font-size:11pt;font-family:Calibri,sans-serif"><span style="margin:0px;padding:0px;border:0px;font-family:inherit;font-size:12pt;font-style:inherit;font-variant-caps:inherit;font-weight:inherit;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:black"> </span></p></div><div style="margin:0px;padding:0px;border:0px;font-family:Calibri,Arial,Helvetica,sans-serif;font-size:15px;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:rgb(32,31,30)"><p style="margin:0px;font-size:11pt;font-family:Calibri,sans-serif"><span style="margin:0px;padding:0px;border:0px;font-family:inherit;font-size:12pt;font-style:inherit;font-variant-caps:inherit;font-weight:inherit;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:black">Looking forward to seeing you soon,</span></p></div><p style="margin:0px;color:rgb(32,31,30);font-size:11pt;font-family:Calibri,sans-serif"><span style="margin:0px;padding:0px;border:0px;font-family:inherit;font-size:12pt;font-style:inherit;font-variant-caps:inherit;font-weight:inherit;font-stretch:inherit;line-height:inherit;vertical-align:baseline;color:black">The Laplace's Demon Team</span></p><br class="gmail-Apple-interchange-newline"></div>