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Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
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Collaborations and top research areas from the last five years

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  • Sufficient Invariant Learning for Distribution Shift

    Kim, T., Park, S., Lim, S., Jung, Y., Muandet, K. & Song, K., Jun 17 2025, 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, p. 4958-4967 10 p. 11094753. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Complete Graphical Criterion for Sequential Covariate Adjustment in Causal Inference

    Jung, Y., Park, M. W. & Lee, S., 2024, In: Advances in Neural Information Processing Systems. 37

    Research output: Contribution to journalConference articlepeer-review

  • Efficient Policy Evaluation Across Multiple Different Experimental Datasets

    Jung, Y. & Bellot, A., 2024, In: Advances in Neural Information Processing Systems. 37

    Research output: Contribution to journalConference articlepeer-review

  • Unified Covariate Adjustment for Causal Inference

    Jung, Y., Tian, J. & Bareinboim, E., 2024, In: Advances in Neural Information Processing Systems. 37

    Research output: Contribution to journalConference articlepeer-review

  • Estimating Causal Effects Identifiable from a Combination of Observations and Experiments

    Jung, Y., Díaz, I., Tian, J. & Bareinboim, E., 2023, Advances in Neural Information Processing Systems 36 - 37th Conference on Neural Information Processing Systems, NeurIPS 2023. Oh, A., Neumann, T., Globerson, A., Saenko, K., Hardt, M. & Levine, S. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 36).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution