Sequential decision-making and digital markets

Sequential decision-making and digital markets

Jan 10, 2024 ยท 1 min read
Image credit: Unsplash

Syllabus

  • The online learning framework: introduction and motivation
  • Follow the Regularized Leader (FTRL)
  • Experts and bandits: Hedge and Exp3
  • The UCB algorithm for stochastic bandits
  • An introduction to online markets: overview of possible applications
  • Online posted price auctions (ideas from [Kleinberg, Leighton, 2003])
  • Second price auctions from the point of view of the buyer (ideas from [Weed, Perchet, Rigollet, 2016])
  • Second price auctions from the point of view of the seller (ideas from [Cesa-Bianchi, Gentile, Mansour, 2015])
  • If time allows, a discussion on the complexity on 1st price auctions with the LB of [Cesa-Bianchi, Cesari, Colomboni, Fusco, Leonardi, 2023] for the stochastic framework with bandit feedback

Note that the first part of the course is supported by slides, while the second is on the whiteboard. Feel free to consult the following material:

Juliette Achddou
Authors
Associate Professor in Computer Science
My research interests are mainly centered on sequential decision problems, online learning and bandits. I am interested in applications to online markets and multi-agents problems.