Sagar Jain

According to our database, Sagar Jain authored at least 16 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Density Weighting for Multi-Interest Personalized Recommendation.

Nikhil Mehta, Anima Singh, Xinyang Yi, Sagar Jain, Lichan Hong, Ed H. Chi

CoRR, 2023

2022

Algorithms for Efficiently Learning Low-Rank Neural Networks.

Kiran Vodrahalli, Rakesh Shivanna, Maheswaran Sathiamoorthy, Sagar Jain, Ed H. Chi

CoRR, 2022

Multi-Resolution Attention for Personalized Item Search.

Furkan Kocayusufoglu, Tao Wu, Anima Singh, Georgios Roumpos, Heng-Tze Cheng, Sagar Jain, Ed H. Chi, Ambuj K. Singh

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

2021

Clock Aligned Input Adiabatic Logic.

Aditya S. Kumar, Sagar Jain, Neeta Pandey

Microelectron. J., 2021

DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems.

Ruoxi Wang, Rakesh Shivanna, Derek Zhiyuan Cheng, Sagar Jain, Dong Lin, Lichan Hong, Ed H. Chi

Proceedings of the WWW '21: The Web Conference 2021, 2021

2020

DCN-M: Improved Deep & Cross Network for Feature Cross Learning in Web-scale Learning to Rank Systems.

Ruoxi Wang, Rakesh Shivanna, Derek Zhiyuan Cheng, Sagar Jain, Dong Lin, Lichan Hong, Ed H. Chi

CoRR, 2020

Understanding and Improving Knowledge Distillation.

Jiaxi Tang, Rakesh Shivanna, Zhe Zhao, Dong Lin, Anima Singh, Ed H. Chi, Sagar Jain

CoRR, 2020

2019

Towards Neural Mixture Recommender for Long Range Dependent User Sequences.

Jiaxi Tang, Francois Belletti, Sagar Jain, Minmin Chen, Alex Beutel, Can Xu, Ed H. Chi

Proceedings of the World Wide Web Conference, 2019

Top-K Off-Policy Correction for a REINFORCE Recommender System.

Minmin Chen, Alex Beutel, Paul Covington, Sagar Jain, Francois Belletti, Ed H. Chi

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

2018

Seq2Slate: Re-ranking and Slate Optimization with RNNs.

Irwan Bello, Sayali Kulkarni, Sagar Jain, Craig Boutilier, Ed Huai-hsin Chi, Elad Eban, Xiyang Luo, Alan Mackey, Ofer Meshi

CoRR, 2018

Latent Cross: Making Use of Context in Recurrent Recommender Systems.

Alex Beutel, Paul Covington, Sagar Jain, Can Xu, Jia Li, Vince Gatto, Ed H. Chi

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Categorical-attributes-based item classification for recommender systems.

Qian Zhao, Jilin Chen, Minmin Chen, Sagar Jain, Alex Beutel, Francois Belletti, Ed H. Chi

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Q&R: A Two-Stage Approach toward Interactive Recommendation.

Konstantina Christakopoulou, Alex Beutel, Rui Li, Sagar Jain, Ed H. Chi

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Practical Diversified Recommendations on YouTube with Determinantal Point Processes.

Mark Wilhelm, Ajith Ramanathan, Alexander Bonomo, Sagar Jain, Ed H. Chi, Jennifer Gillenwater

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Factorized Recurrent Neural Architectures for Longer Range Dependence.

Francois Belletti, Alex Beutel, Sagar Jain, Ed Huai-hsin Chi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2009

Control-flow refinement and progress invariants for bound analysis.

Sumit Gulwani, Sagar Jain, Eric Koskinen

Proceedings of the 2009 ACM SIGPLAN Conference on Programming Language Design and Implementation, 2009