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Evidence-Based Rankings

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Defines domination compatibility and a stronger evidence consistency criterion for rankings, proves that a ranking induced by a C-multi-accurate predictor satisfies these guarantees, and reduces learning such rankings to learning multi-accurate/multi-calibrated predictors (algorithmic procedures and uniform convergence bounds over a class C). Shows standard fixed-test definitions are manipulable, requires ranking-dependent tests (quantiles of the produced ranking) and proves equivalence between ranking-reflexive evidence consistency and domination compatibility. Paper appears at FOCS.

AI-written summary · about

  1. 0:00Intro
  2. 2:30Motivation Ranking is often underlying motivation for prediction e.g. college admissions predict probability of graduation in 4 years
  3. 3:54Task Learn to rank individuals by probability of outcome
  4. 8:02Goal: Learn to rank individuals according to probability of success, without observing
  5. 12:34Ranking from outcomes Statistical queries: From a small sample of outcomes, can estimate
  6. 14:06Comparison to prior work Lots of prior work on learning to rank
  7. 15:23Consistent Predictors Every ranking has a family of consistent predictors: Any predictor that respects the order of ranking
  8. 21:58Why Domination Compatibility? Violations to domination compatibility feel objectionable No consistent predictor respects evidence given by C!
  9. 23:47Evidence Consistency A ranking ris C-evidence-consistent if there exists a consistent predictor p such that for all sets SEC
  10. 26:52Learning a ranking Reduce learning a ranking to learning a predictor Induced ranking of C-multi-accurate predictor p is: C-evidence-consistent (p serves as witness)
  11. 33:10Are we there yet? Rankings consistent with evidence in rich class of tests No transpositions of groups defined by Predefined statistical tests may not be enough
  12. 38:02Weakness in evidence consistency Not just an issue with adversarial manipulation
  13. 41:56Interpreting the theorem The surprising strength of Domination Compatibility → When the sets in question may depend on ranking, domination compatibility implies global consistency Requires self-reference Domination-compatibility strictly weaker than evidence-consistency when sets are predefined
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