Schedule

  • 9.00 - 10.00 Morning session I
  • 10.05 - 10.25 Morning coffee break
  • 10.25 - 12.00 Morning session
  • 12.05 - 14.00 Lunch break
  • 14.00 - 15.00 Afternoon session I
    • 14.00 - 14.40 Panel discussion:  
      • Panelists:
        • Panelist 1: Alekh Agarwal 
        • Panelist 2: Michal Valko   
        • Panelist 3: Mehryar Mohri
    • 14.40 - 15.00 Contributed talk by Saket Maheshwary - Data Driven Feature Learning
  • 15.00 - 15.30 Afternoon coffee break
  • 15.30 - 17.35 Afternoon session II
    • 15.30 - 16.10 Invited talk - Michal Valko - Faster graph bandit learning using information about the neighbors 
    • 16.10 - 16.30 Contributed talk by Keerthiram Murugesan - Active Learning from Peers. 
    • 16.30 - 17.10 Invited talk -  Claudio Gentile - On leveraging structure in nonstochastic bandit problems: some examples
      17.10 - 17.30 Invited Student talk - Liran Szlak - Online Learning with Local Permutations and Delayed Feedback
    • 17.30 - 17.35 Wrap-up
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