| Tiny imagenet visual recognition challenge Y Le, X Yang CS 231N 7 (7), 3, 2015 | 1300 | 2015 |
| 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 | 75 | 2018 |
| 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 | 36 | 2021 |
| 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 | 11 | 2021 |
| Sparse quadratic discriminant analysis and community bayes Y Le, T Hastie arXiv preprint arXiv:1407.4543, 2014 | 9 | 2014 |
| 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 | 8 | 2022 |
| Some theory for practical classifier validation E Bax, Y Le arXiv preprint arXiv:1510.02676, 2015 | 4 | 2015 |
| 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 | 3 | 2022 |
| 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 | 2 | 2023 |
| 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 | 2 | 2016 |
| 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 | 1 | 2023 |
| Towards Content Provider Aware Recommender Systems R Zhan, K Christakopoulou, Y Le, J Ooi, M Mladenov, C Boutilier, EH Chi, ... | 1 | 2021 |
| Validation of network reconciliation Y Le, E Bax, N Barbieri, DG Soriano, J Mehta, J Li arXiv preprint arXiv:1411.0023, 2014 | 1 | 2014 |
| 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 | | 2024 |
| 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 | | 2022 |
| 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 | | |
