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Yongdai Kim
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Insung Kong, Dongyoon Yang, Jongjin Lee, Ilsang Ohn, GYUSEUNG BAEK, Yongdai Kim (2023). Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference. Accepted by ICML2023.
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Insung Kong, Dongyoon Yang, Jongjin Lee, Ilsang Ohn, GYUSEUNG BAEK, Yongdai Kim (2023). Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference. Accepted by ICML2023.
Insung Kong, Dongyoon Yang, Jongjin Lee, Ilsang Ohn, GYUSEUNG BAEK, Yongdai Kim (2023). Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference. Accepted by ICML2023.
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Dongyoon Yang, Insung Kong, Yongdai Kim (2023). Improving adversarial robustness by putting more regularizations on less robust samples. Accepted by ICML2023.
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Insung Kong, Yuha Park, Joonhyuk Jung, Kwonsang Lee, Yongdai Kim (2023). Covariate balancing using the integral probability metric for causal inference. Accepted by ICML2023.
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