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DTSTART:20190310T070000
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DTSTART:20191103T060000
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DTSTART;TZID=America/Toronto:20191205T143000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20191205T143000
URL:https://uwaterloo.ca/artificial-intelligence-group/events/ai-seminar-to
 wards-fair-and-accurate-peer-review
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 1302 Waterloo ON N2L 3G1 Canada
SUMMARY:AI Seminar: Towards Fair and Accurate Peer Review
CLASS:PUBLIC
DESCRIPTION:IVAN STELMAKH\, PHD CANDIDATE\n_Machine Learning Department\, S
 chool of Computer Science_\nCarnegie Mellon University\n\nPeer review is t
 he backbone of scholarly research and fairness of this\nprocess is crucial
  for the successful development of academia. In this\ntalk\, we will discu
 ss our two recent works on fairness of peer review.\nIn the first part of 
 the talk\, we will focus on the automated\nassignment of papers to reviewe
 rs in the conference setup. We will\nshow that the assignment procedure cu
 rrently employed by NeurIPS and\nICML does not guarantee fairness and may 
 discriminate against some\nsubmissions. In contrast\, we will present the 
 assignment algorithm\nthat simultaneously ensures fairness and accuracy of
  the resulting\nallocation. 
DTSTAMP:20260324T065033Z
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