Meeting 10.11.2023

[MylesBartlett]

• Determined that briefly summarising the current state of algorithmic recourse and performative prediction is a necessary first step
• Discussed the original credit-loan setup from Perdomo et al., 2020.
  • it seems potentially unrealistic that the labels don't change
• Building a realistic simulation suite for performative prediction / (dynamic) algorithmic recourse might be one avenue for the project to take. This was motivated by the deficiencies brought up in the above-referenced discussion.
• Should the setup allow black box models?
• Should the setup allow for asynchronicity?
• Should the setup involve competition between the players/clients?
• Should the training distribution be fully observed?
• Our goal is, I think, to try to bridge the gap between the existing PP literature, which is largely theoretical/toy, and real-world realisations of the dynamic problems it represents. This begins with developing some certifiably-realistic testbed, in the vein of WILDS.