Dr Song Liu

BEng (Suzhou University), MSc (Bristol), Doctor of Engineering (Tokyo Tech)

  • BS8 1UG

20162019

Research output per year

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Research Output

  • 3 Conference Contribution (Conference Proceeding)
  • 1 Conference Paper
  • 1 Article (Academic Journal)
2017

Model Inference with Stein Density Ratio Estimation

Liu, S., Jitkrittum, W. & Ek, C. H., 2017, (Unpublished).

Research output: Contribution to conferenceConference Paper

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 (Academic Journal)

Open Access
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204 Downloads (Pure)

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 (Conference Proceeding)

2016

Estimating Posterior Ratio for Classification: Transfer Learning from Probabilistic Perspective

Liu, S. & Fukumizu, K., 5 May 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 (Conference Proceeding)

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 (Conference Proceeding)

Open Access