- 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
|
|