关注
Ya Le
标题
引用次数
引用次数
年份
Tiny imagenet visual recognition challenge
Y Le, X Yang
CS 231N 7 (7), 3, 2015
15712015
Modeling and predicting osteoarthritis progression: data from the osteoarthritis initiative
E Halilaj, Y Le, JL Hicks, TJ Hastie, SL Delp
Osteoarthritis and cartilage 26 (12), 1643-1650, 2018
812018
Values of user exploration in recommender systems
M Chen, Y Wang, C Xu, Y Le, M Sharma, L Richardson, SL Wu, E Chi
Proceedings of the 15th ACM Conference on Recommender Systems, 85-95, 2021
442021
Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities
R Zhan, K Christakopoulou, Y Le, J Ooi, M Mladenov, A Beutel, C Boutilier, ...
Proceedings of the Web Conference 2021, 3872-3883, 2021
112021
Learning to Augment for Casual User Recommendation
J Wang, Y Le, B Chang, Y Wang, EH Chi, M Chen
Proceedings of the ACM Web Conference 2022, 2183-2194, 2022
92022
Sparse quadratic discriminant analysis and community bayes
Y Le, T Hastie
arXiv preprint arXiv:1407.4543, 2014
92014
Learning from Negative User Feedback and Measuring Responsiveness for Sequential Recommenders
Y Wang, Y Halpern, S Chang, J Feng, EY Le, L Li, X Liang, MC Huang, ...
Proceedings of the 17th ACM Conference on Recommender Systems, 1049-1053, 2023
42023
Some theory for practical classifier validation
E Bax, Y Le
arXiv preprint arXiv:1510.02676, 2015
42015
Reward Shaping for User Satisfaction in a REINFORCE Recommender
K Christakopoulou, C Xu, S Zhang, S Badam, T Potter, D Li, H Wan, X Yi, ...
arXiv preprint arXiv:2209.15166, 2022
32022
Validation of matching
Y Le, E Bax, N Barbieri, DG Soriano, J Mehta, J Li
2016 International Joint Conference on Neural Networks (IJCNN), 4457-4464, 2016
22016
Long-Term Value of Exploration: Measurements, Findings and Algorithms
Y Su, X Wang, EY Le, L Liu, Y Li, H Lu, B Lipshitz, S Badam, L Heldt, S Bi, ...
Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024
12024
Value of Exploration: Measurements, Findings and Algorithms
Y Su, X Wang, EY Le, L Liu, Y Li, H Lu, B Lipshitz, S Badam, L Heldt, S Bi, ...
arXiv preprint arXiv:2305.07764, 2023
12023
Recency Dropout for Recurrent Recommender Systems
B Chang, C Xu, M Lê, J Feng, Y Le, S Badam, E Chi, M Chen
arXiv preprint arXiv:2201.11016, 2022
12022
Towards content provider aware recommender systems
R Zhan, K Christakopoulou, Y Le, J Ooi, M Mladenov, A Beutel, C Boutilier, ...
Proceedings of the Web Conference, 2021
12021
Validation of network reconciliation
Y Le, E Bax, N Barbieri, DG Soriano, J Mehta, J Li
arXiv preprint arXiv:1411.0023, 2014
12014
Topics in Statistical Learning with a Focus on Large-scale Data
Y Le
Stanford University, 2018
2018
Automatic Grouping for Social Networks CS229 Project Report
X Tian, Y Le, Y Fang
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