BEGIN:VCALENDAR METHOD:REQUEST PRODID:Microsoft Exchange Server 2010 VERSION:2.0 BEGIN:VTIMEZONE TZID:Eastern Standard Time BEGIN:STANDARD DTSTART:16010101T020000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;INTERVAL=1;BYDAY=1SU;BYMONTH=11 END:STANDARD BEGIN:DAYLIGHT DTSTART:16010101T020000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;INTERVAL=1;BYDAY=2SU;BYMONTH=3 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT ORGANIZER;CN="Gupta, Sumeet Kumar":mailto:guptask@purdue.edu ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=FALSE;CN=ecefacult y@ecn.purdue.edu:mailto:ecefaculty@ecn.purdue.edu ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=FALSE;CN='ecegrads tudent-list@ecn.purdue.edu':mailto:ecegradstudent-list@ecn.purdue.edu ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=FALSE;CN=ecepostdo cs-list@ecn.purdue.edu:mailto:ecepostdocs-list@ecn.purdue.edu ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=FALSE;CN=BNC-EngSt aff:mailto:BNC-EngStaff@groups.purdue.edu ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=FALSE;CN=Bnc-facul ty-all-list@ecn.purdue.edu:mailto:bnc-faculty-all-list@ecn.purdue.edu ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=FALSE;CN="Inouye, D avid Iseri":mailto:dinouye@purdue.edu DESCRIPTION;LANGUAGE=en-US:Unifying and Advancing the Science of Deep Distr ibution Alignment\n\n\n\nProf. David I. Inouye\n\nPurdue University\n\nTue sday\, August 30\, 2022: 4 PM-5 PM\n\nZoom link: https://purdue-edu.zoom.u s/j/3164232249\n\nAbstract\n\nDistribution alignment has the opposite obje ctive of classification. While classification finds a representation that separates two distributions\, alignment finds a representation that brings together two distributions. Alignment has been used in many recent machin e learning applications including domain generalization\, causal discovery \, and fair representation learning. Despite these important applications\ , distribution alignment research lacks a unified and systematic conceptua l framework and has primarily focused on GAN-based adversarial alignment f or images. To address this gap\, I will present a unifying alignment frame work that encompasses alignment concepts\, measures\, algorithms\, and app lications. Specifically\, I will formalize the definition of distribution alignment\, develop novel non-adversarial alignment measures and algorithm s\, and discuss alignment applications in causal discovery and domain gene ralization. Ultimately\, this work aims to advance the science of distribu tion alignment to enable the next generation of contextually aware and rob ust AI systems.\n\n\nBio\n\nProf. David I. Inouye is an assistant professo r in the Elmore Family School of Electrical and Computer Engineering at Pu rdue University. He leads the Probabilistic and Understandable Machine Lea rning Lab\, which focuses on the fundamentals of distribution alignment\, probabilistic models\, and explainable AI. More recently\, he is intereste d in distribution alignment including new alignment algorithms\, measures\ , and applications such as causality and domain generalization. On the exp lainable AI side\, he is interested in distribution shift explanations and tractable uncertainty quantification. Previously\, he was a postdoc at Ca rnegie Mellon University working with Prof. Pradeep Ravikumar. He complete d his Computer Science PhD at The University of Texas at Austin in 2017 ad vised by Prof. Inderjit Dhillon and Prof. Pradeep Ravikumar. He was award ed the NSF Graduate Research Fellowship (NSF GRFP)\n\n\nHost\nSumeet Kumar Gupta\, guptask@purdue.edu\, 765 494 3484\n\n\n__________________________ ______________________________________________________\nMicrosoft Teams me eting\nJoin on your computer or mobile app\nClick here to join the meeting \nMeeting ID: 226 572 305 065\nPasscode: 5zUnQM\nDo wnload Teams | Join on the web\nJoin with a video conferencing device\npurdue@m.webex.com\nVideo Confe rence ID: 115 134 392 0\nAlternate VTC instructions\nLearn More | Meeting options\n_______________________________________________________________________ _________\n UID:040000008200E00074C5B7101A82E00800000000D983F6AB98B8D801000000000000000 010000000C9FAAA5EF3D52D40AE9BA4184E7439A3 SUMMARY;LANGUAGE=en-US:Webinar by Prof. David Inouye (Purdue) on "Unifying and Advancing the Science of Deep Distribution Alignment" DTSTART;TZID=Eastern Standard Time:20220830T160000 DTEND;TZID=Eastern Standard Time:20220830T170000 CLASS:PUBLIC PRIORITY:5 DTSTAMP:20220825T153813Z TRANSP:OPAQUE STATUS:CONFIRMED SEQUENCE:0 LOCATION;LANGUAGE=en-US:https://purdue-edu.zoom.us/j/3164232249 X-MICROSOFT-CDO-APPT-SEQUENCE:0 X-MICROSOFT-CDO-OWNERAPPTID:2120796377 X-MICROSOFT-CDO-BUSYSTATUS:TENTATIVE X-MICROSOFT-CDO-INTENDEDSTATUS:BUSY X-MICROSOFT-CDO-ALLDAYEVENT:FALSE X-MICROSOFT-CDO-IMPORTANCE:1 X-MICROSOFT-CDO-INSTTYPE:0 X-MICROSOFT-ONLINEMEETINGINFORMATION:{"OnlineMeetingChannelId":null\,"Onlin eMeetingProvider":3} X-MICROSOFT-SKYPETEAMSMEETINGURL:https://teams.microsoft.com/l/meetup-join/ 19%3ameeting_MjJlNjRlYmQtMTc4Ny00NTg2LThmN2MtN2Q2MGZmNTMxNTc0%40thread.v2/ 0?context=%7b%22Tid%22%3a%224130bd39-7c53-419c-b1e5-8758d6d63f21%22%2c%22O id%22%3a%22c2039060-5561-407c-a7d1-fa73a396bda1%22%7d X-MICROSOFT-SCHEDULINGSERVICEUPDATEURL:https://api.scheduler.teams.microsof t.com/teams/4130bd39-7c53-419c-b1e5-8758d6d63f21/c2039060-5561-407c-a7d1-f a73a396bda1/19_meeting_MjJlNjRlYmQtMTc4Ny00NTg2LThmN2MtN2Q2MGZmNTMxNTc0@th read.v2/0 X-MICROSOFT-SKYPETEAMSPROPERTIES:{"cid":"19:meeting_MjJlNjRlYmQtMTc4Ny00NTg 2LThmN2MtN2Q2MGZmNTMxNTc0@thread.v2"\,"rid":0\,"mid":0\,"uid":null\,"priva te":true\,"type":0} X-MICROSOFT-ONLINEMEETINGCONFLINK:conf:sip:guptask@purdue.edu\;gruu\;opaque =app:conf:focus:id:teams:2:0!19:meeting_MjJlNjRlYmQtMTc4Ny00NTg2LThmN2MtN2 Q2MGZmNTMxNTc0-thread.v2!c20390605561407ca7d1fa73a396bda1!4130bd397c53419c b1e58758d6d63f21 X-MICROSOFT-DONOTFORWARDMEETING:FALSE X-MICROSOFT-DISALLOW-COUNTER:FALSE X-MICROSOFT-LOCATIONDISPLAYNAME:https://purdue-edu.zoom.us/j/3164232249 X-MICROSOFT-LOCATIONSOURCE:None X-MICROSOFT-LOCATIONS:[{"DisplayName":"https://purdue-edu.zoom.us/j/3164232 249 "\,"LocationAnnotation":""\,"LocationUri":""\,"LocationStreet":""\,"Lo cationCity":""\,"LocationState":""\,"LocationCountry":""\,"LocationPostalC ode":""\,"LocationFullAddress":""}] END:VEVENT END:VCALENDAR