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ORGANIZER;CN="Gupta, Sumeet Kumar":mailto:guptask@purdue.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=FALSE;CN="Inouye, D
 avid Iseri":mailto:dinouye@purdue.edu
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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
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SUMMARY;LANGUAGE=en-US:Webinar by Prof. on David I. Inouye "Unifying and Ad
 vancing the Science of Deep Distribution Alignment"
DTSTART;TZID=Eastern Standard Time:20220830T160000
DTEND;TZID=Eastern Standard Time:20220830T170000
CLASS:PUBLIC
PRIORITY:5
DTSTAMP:20220825T154844Z
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STATUS:CONFIRMED
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