Schedule
The workshop will be held on September 26th, 2020.
The poster session will be held on gather.town. A link + password will be shared with the participants during the event.
The workshop will start at 2pm GMT (a maximum time point in AoE compatibility).
Please take a look here for more details about the invited talks, and here for the workshop's proceedings.
Agenda (GMT time):
2pm-2.05pm Introduction. Yves Raimond (Netflix) & Olivier Koch (Criteo)
2.05pm-2.30pm Invited talk. Causal Inference for Recommender Systems. Amit Sharma (Microsoft). Session chairs: Yves R. & Olivier K.
2.30pm-3pm Contributed talk. A Large-scale Open Dataset for Bandit Algorithms. Yuta Saito (Tokyo Institute of Technology)
3pm-3.30pm Contributed talk. A Distributed Asynchronous Deep Reinforcement Learning Framework for Recommender Systems, Bichen Shi (UCD)
3.30pm-4.30pm Posters
4.30pm-5pm Invited talk. Challenges in Evaluating Exploration Effectiveness in Recommender Systems, Inbar Naor (Taboola). Session chairs: Flavian V. & Olivier K.
5pm-5.30pm Panel
5.30pm-6pm Invited talk. Solving Inverse Reinforcement Learning, Bootstrapping Bandits, and Adaptive Recommendation, Houssam Nassif (Amazon).
6-7pm Posters
7pm-7.30pm Invited talk. New Applications of Bandits and Reinforcement Learning Algorithms for Recommender Systems, Minmin Chen (Google). Session chairs: Adith S. & Maria D.
7.30pm-8pm Contributed talk. Dirichlet-Luce Choice Model for Learning from Interactions, Gokhan Capan (Bogazici University)
8pm-8.30pm Contributed talk. Improving Offline Contextual Bandits with Distributional Robustness, Otmane Sakhi (Criteo)