Ya Le

According to our database, Ya Le authored at least 8 papers between 2014 and 2022.

Collaborative distances:

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

2022

Reward Shaping for User Satisfaction in a REINFORCE Recommender.

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

CoRR, 2022

Recency Dropout for Recurrent Recommender Systems.

Bo Chang, Can Xu, Matthieu Lê, Jingchen Feng, Ya Le, Sriraj Badam, Ed H. Chi, Minmin Chen

CoRR, 2022

Learning to Augment for Casual User Recommendation.

Jianling Wang, Ya Le, Bo Chang, Yuyan Wang, Ed H. Chi, Minmin Chen

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2021

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

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

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

Values of User Exploration in Recommender Systems.

Minmin Chen, Yuyan Wang, Can Xu, Ya Le, Mohit Sharma, Lee Richardson, Su-Lin Wu, Ed H. Chi

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

2016

Validation of matching.

Ya Le, Eric Bax, Nicola Barbieri, David García-Soriano, Jitesh Mehta, James Li

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Some Theory For Practical Classifier Validation.

Eric Bax, Ya Le

CoRR, 2015

2014

Validation of Network Reconciliation.

Ya Le, Eric Bax, Nicola Barbieri, David García-Soriano, Jitesh Mehta, James Li

CoRR, 2014