| Supervised autoencoders: Improving generalization performance with unsupervised regularizers L Le, A Patterson, M White Advances in neural information processing systems 31, 2018 | 298 | 2018 |
| The utility of sparse representations for control in reinforcement learning V Liu, R Kumaraswamy, L Le, M White Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4384-4391, 2019 | 63 | 2019 |
| Learning sparse representations in reinforcement learning with sparse coding L Le, R Kumaraswamy, M White arXiv preprint arXiv:1707.08316, 2017 | 29 | 2017 |
| On predictability of rare events leveraging social media: a machine learning perspective L Le, E Ferrara, A Flammini Proceedings of the 2015 ACM on Conference on Online Social Networks, 3-13, 2015 | 18 | 2015 |
| Actor-expert: A framework for using q-learning in continuous action spaces S Lim, A Joseph, L Le, Y Pan, M White arXiv preprint arXiv:1810.09103 9, 2018 | 15 | 2018 |
| Actor-expert: A framework for using action-value methods in continuous action spaces S Lim, A Joseph, L Le, Y Pan, M White arXiv preprint arXiv:1810.09103 22, 2018 | 12 | 2018 |
| Learning macroscopic brain connectomes via group-sparse factorization F Aminmansour, A Patterson, L Le, Y Peng, D Mitchell, F Pestilli, ... Advances in Neural Information Processing Systems 32, 2019 | 5 | 2019 |
| LiRank: Industrial Large Scale Ranking Models at LinkedIn F Borisyuk, M Zhou, Q Song, S Zhu, B Tiwana, G Parameswaran, S Dangi, ... Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 1 | 2024 |
| Identifying Tractable Dictionary Learning Models for Representation Learning L Le Indiana University, 2019 | | 2019 |
| Identifying global optimality for dictionary learning L Le, M White arXiv preprint arXiv:1604.04942, 2016 | | 2016 |
