Paul Covington

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 7

Top Topics

Highly Relevant

Hypertree Decomposition

Recommender Systems

Top Venues

Publications

Qiujing Lu, Weiqiao Han, Jeffrey Ling, Minfa Wang, Haoyu Chen, Balakrishnan Varadarajan, Paul Covington
KEMP: Keyframe-Based Hierarchical End-to-End Deep Model for Long-Term Trajectory Prediction. CoRR (2022)
Qiujing Lu, Weiqiao Han, Jeffrey Ling, Minfa Wang, Haoyu Chen, Balakrishnan Varadarajan, Paul Covington
KEMP: Keyframe-Based Hierarchical End-to-End Deep Model for Long- Term Trajectory Prediction. ICRA (2022)
Eugene Ie, Vihan Jain, Jing Wang, Sanmit Narvekar, Ritesh Agarwal, Rui Wu, Heng-Tze Cheng, Morgane Lustman, Vince Gatto, Paul Covington, Jim McFadden, Tushar Chandra, Craig Boutilier
Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology. CoRR (2019)
Minmin Chen, Alex Beutel, Paul Covington, Sagar Jain, Francois Belletti, Ed H. Chi
Top-K Off-Policy Correction for a REINFORCE Recommender System. WSDM (2019)
Minmin Chen, Alex Beutel, Paul Covington, Sagar Jain, Francois Belletti, Ed H. Chi
Top-K Off-Policy Correction for a REINFORCE Recommender System. CoRR (2018)
Alex Beutel, Paul Covington, Sagar Jain, Can Xu, Jia Li, Vince Gatto, Ed H. Chi
Latent Cross: Making Use of Context in Recurrent Recommender Systems. WSDM (2018)
Paul Covington, Jay Adams, Emre Sargin
Deep Neural Networks for YouTube Recommendations. RecSys (2016)