Stebėti
Lei Le
Lei Le
Patvirtintas el. paštas linkedin.com - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
Supervised autoencoders: Improving generalization performance with unsupervised regularizers
L Le, A Patterson, M White
Advances in neural information processing systems 31, 2018
2712018
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
552019
Learning sparse representations in reinforcement learning with sparse coding
L Le, R Kumaraswamy, M White
arXiv preprint arXiv:1707.08316, 2017
272017
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
182015
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
112018
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
102018
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
52019
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
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