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Dr Song LiuBEng (Suzhou University), MSc (Bristol), Doctor of Engineering (Tokyo Tech)

Lecturer

1 - 5 out of 5Page size: 10
  1. 2017
  2. Published

    Trimmed Density Ratio Estimation

    Liu, S., Takeda, A., Suzuki, T. & Fukumizu, K., 4 Dec 2017, Advances in Neural Information Processing Systems 30 (NIPS 2017). 11 p.

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

  3. Unpublished

    Model Inference with Stein Density Ratio Estimation

    Liu, S., Jitkrittum, W. & Ek, C. H., 2017, (Unpublished).

    Research output: Contribution to conferencePaper

  4. Published

    Support consistency of direct sparse-change learning in Markov networks

    Liu, S., Suzuki, T., Relator, R., Jun, S., Sugiyama, M. & Fukumizu, K., 2017, In : Annals of Statistics. 45, 3, p. 959-990 30 p., 3.

    Research output: Contribution to journalArticle

  5. 2016
  6. E-pub ahead of print

    Structure Learning of Partitioned Markov Networks

    Liu, S., Suzuki, T., Sugiyama, M. & Fukumizu, K., 19 Jun 2016, Proceedings of The 33rd International Conference on Machine Learning. Vol. 48.

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

  7. Published

    Estimating Posterior Ratio for Classification: Transfer Learning from Probabilistic Perspective

    Liu, S. & Fukumizu, K., 2016, Proceedings of the 2016 SIAM International Conference on Data Mining. p. 747-755 9 p.

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