Search Results - "Ryu, Jongha"

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  1. 1

    From Information Theory to Machine Learning Algorithms: A Few Vignettes by Ryu, Jongha Jon

    Published 01-01-2022
    “…This dissertation illustrates how certain information-theoretic ideas and views on learning problems can lead to new algorithms via concrete examples. The…”
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    Dissertation
  2. 2

    Conditional Distribution Learning with Neural Networks and its Application to Universal Image Denoising by Ryu, Jongha, Kim, Young-Han

    “…A simple and scalable denoising algorithm is proposed that can be applied to a wide range of source and noise models. At the core of the proposed CUDE…”
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    Conference Proceeding
  3. 3

    Group Fairness with Uncertain Sensitive Attributes by Shah, Abhin, Shen, Maohao, Ryu, Jongha Jon, Das, Subhro, Sattigeri, Prasanna, Bu, Yuheng, Wornell, Gregory W.

    “…Learning a fair predictive model is crucial to mitigate biased decisions against minority groups in high-stakes applications. A common approach to learn such a…”
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    Conference Proceeding
  4. 4

    Group Fairness with Uncertainty in Sensitive Attributes by Shah, Abhin, Shen, Maohao, Ryu, Jongha Jon, Das, Subhro, Sattigeri, Prasanna, Bu, Yuheng, Wornell, Gregory W

    Published 15-02-2023
    “…Learning a fair predictive model is crucial to mitigate biased decisions against minority groups in high-stakes applications. A common approach to learn such a…”
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    Journal Article
  5. 5
  6. 6

    Energy-Based Sequence GANs for Recommendation and Their Connection to Imitation Learning by Yoo, Jaeyoon, Ha, Heonseok, Yi, Jihun, Ryu, Jongha, Kim, Chanju, Ha, Jung-Woo, Kim, Young-Han, Yoon, Sungroh

    Published 28-06-2017
    “…Recommender systems aim to find an accurate and efficient mapping from historic data of user-preferred items to a new item that is to be liked by a user…”
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    Journal Article