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Konstantina Christakopoulou

Reward Shaping for User Satisfaction in a REINFORCE Recommender


Sep 30, 2022
Konstantina Christakopoulou, Can Xu, Sai Zhang, Sriraj Badam, Trevor Potter, Daniel Li, Hao Wan, Xinyang Yi, Ya Le, Chris Berg, Eric Bencomo Dixon, Ed H. Chi, Minmin Chen

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* Accepted in Reinforcement Learning for Real Life (RL4RealLife) Workshop in the 38th International Conference on Machine Learning, 2021 

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Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective


Jun 15, 2022
Xin Xin, Tiago Pimentel, Alexandros Karatzoglou, Pengjie Ren, Konstantina Christakopoulou, Zhaochun Ren

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Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities


May 06, 2021
Ruohan Zhan, Konstantina Christakopoulou, Ya Le, Jayden Ooi, Martin Mladenov, Alex Beutel, Craig Boutilier, Ed H. Chi, Minmin Chen

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Adversarial Recommendation: Attack of the Learned Fake Users


Sep 21, 2018
Konstantina Christakopoulou, Arindam Banerjee

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Glass-Box Program Synthesis: A Machine Learning Approach


Sep 25, 2017
Konstantina Christakopoulou, Adam Tauman Kalai

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Recommendation under Capacity Constraints


Mar 12, 2017
Konstantina Christakopoulou, Jaya Kawale, Arindam Banerjee

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* Extended methods section and experimental section to include bayesian personalized ranking objective as well 

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