Jul 1 – 3, 2024
Institut de Mathématiques de Toulouse
Europe/Paris timezone
The preliminary program is now available

Regret-based learning algorithms have found applications in various environments including stochastic, adversarial and multi-agent ones. While optimal convergence rates were known in the stochastic and adversarial settings, the corresponding results in the multi-agent settings have started to appear only recently. 

The aim of this workshop is to showcase recent trends and advances in regret-based learning algorithms in multi-agent competitive environments.

The program will consist of two tutorials, 15 invited talks, and poster presentations. For participants interested in presenting their work in the form of a poster and a flash-talk, the call for posters has all the details including the possibility of applying for a grant.

This workshop is part of the thematic semester Stochastic control and learning for complex networks (SOLACE).

Preliminary program is online.

Tutorials

  • Simina Branzei (Purdue University, US)
  • Sylvain Sorin (Sorbonne University, France)

 

Invited talks

  • Venkat Anantharam (UC Berkeley, US)
  • Galit Ashkenazi-Golan (LSE, UK)
  • Martin Bichler (TU Munich, Germany)
  • Tommaso Cesari (Univ. of Ottawa, Canada)
  • Julien Grand-Clement (HEC, France)
  • Sergiu Hart (Hebrew Univ. of Jerusalem, Israel)
  • Chi Jin (Princeton, US)
  • Sam Jindani (NUS, Singapore)
  • Maryam Kamgarpour (EPFL, Switzerland)
  • Tran-Thanh Long (Univ. of Warwick, UK)
  • Panayotis Mertikopoulous (CNRS, France)
  • Mehryar Mohri (CIMS, US)
  • Vianney Perchet (ENSAE, France)
  • Marco Scarsini (Luiss University, Italy)
  • Bassel Tarbush (Univ. of Oxford, UK)

 

Registration is free but mandatory.

Important Dates

  • Deadline for poster submissions (including grant applications): 01 April 2024 26 April 2024
  • Notification: 15 April 2024 03 May 2024
  • Workshop: 1-3 July 2024

 

Contact:    

 

 

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Europe/Paris
Institut de Mathématiques de Toulouse
Amphithéâtre Schwartz
Université Paul Sabatier Toulouse 3 118 route de Narbonne, Toulouse Bâtiment 1R3
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