Media Summary: For slides and more information on the paper, visit Discussion lead: Susan Shu Chang. Qiang Liu (UT Austin) Deep Reinforcement Learning. ACM SAC 2020: presentation of the paper "
Debiased Off Policy Evaluation For Recommender Systems - Detailed Analysis & Overview
For slides and more information on the paper, visit Discussion lead: Susan Shu Chang. Qiang Liu (UT Austin) Deep Reinforcement Learning. ACM SAC 2020: presentation of the paper " RecSys 2022 by Minmin Chen (Google, United States), Can Xu (Google Inc, United States), Vince Gatto (Google, United States), ... Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach We are PG Group 7 in CS 4246/5446. In this video, we present our survey of
In this talk, I will present my recent work on RecSys 2021 Towards Unified Metrics for Accuracy and Diversity for Teaser presentation of our RecSys 2023 workshop paper: Offline RecSys 2021 Pessimistic Reward Models for
