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Showing results 1 to 6 of 6

1
Deep Neural Networks with Dependent Weights: Gaussian Process Mixture Limit, Heavy Tails, Sparsity and Compressibility

Lee, Hoil; Ayed, Fadhel; Jung, Paul; Lee, Juho; Yang, Hongseok; Caron, Francois, JOURNAL OF MACHINE LEARNING RESEARCH, v.24, pp.1 - 78, 2023-09

2
DemoDICE: Offline Imitation Learning with Supplementary Imperfect Demonstrations

Kim, Geon-Hyeong; Seo, Seokin; Lee, Jongmin; Jeon, Wonseok; Hwang, HyeongJoo; Yang, Hongseok; Kim, Kee-Eung, Tenth International Conference on Learning Representations (ICLR 2022), International Conference on Learning Representations, 2022-04-26

3
LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation

Kim, Geon-Hyeong; Lee, Jongmin; Jang, Youngsoo; Yang, Hongseok; Kim, Kee-Eung, The 36th Conference on Neural Information Processing Systems (NeurIPS 2022), Neural information processing systems foundation, 2022-12-01

4
Regularized Behavior Cloning for Blocking the Leakage of Past Action Information

Seo, Seokin; HWANG, HYEONGJOO; Yang, Hongseok; Kim, Kee-Eung, The 37th Conference on Neural Information Processing Systems (NeurIPS 2023), Neural information processing systems foundation, 2023-12-13

5
Regularizing towards soft equivariance under mixed symmetries

Kim, Hyunsu; Lee, Hyungi; Yang, Hongseok; Lee, Juho, Fortieth International Conference on Machine Learning, International Conference on Machine Learning, 2023-07-23

6
Scale mixtures of neural network Gaussian processes

Lee, Hyungi; Yun, Eunggu; Yang, Hongseok; Lee, Juho, Tenth International Conference on Learning Representations (ICLR 2022), International Conference on Learning Representations, 2022-04-25

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