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ORCIDSong Liu 0002
Person information
- affiliation: University of Bristol, UK
- affiliation (former): Institute of Statistical Mathematics, Tokyo, Japan
- affiliation (former): Tokyo Institute of Technology, Japan
Other persons with the same name
- Song Liu — disambiguation page
- Song Liu 0001 — Nanyang Technological University, School of Computer Engineering, Centre for Multimedia and Network Technology, Singapore
- Song Liu 0003
![[0000-0003-0519-226X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-0519-226X")
— City University of Hong Kong, Department of Mechanical and Biomedical Engineering, Hong Kong (and 1 more) - Song Liu 0004 — Anhui University, School of Mathematical Sciences, Hefei, China
- Song Liu 0005 — National University of Defense Technology, National Laboratory for Parallel and Distributed Processing, Changsha, China
- Song Liu 0006 — Chongqing University of Science and Technology, Chongqing University of Science and Technology, Chongqing, China
- Song Liu 0007 — Xi'an Jiaotong University, School of Electronic and Information Engineering, Xi'an, China
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2020 – today
- 2023
[c11]Daniel J. Williams, Song Liu:
Approximate Stein Classes for Truncated Density Estimation. ICML 2023: 37066-37090- [i8]Daniel J. Williams, Song Liu:
Approximate Stein Classes for Truncated Density Estimation. CoRR abs/2306.00602 (2023) - 2022
- [j6]Song Liu, Takafumi Kanamori, Daniel J. Williams:
Estimating Density Models with Truncation Boundaries using Score Matching. J. Mach. Learn. Res. 23: 186:1-186:38 (2022) - 2021
- [c10]Shunya Minami, Song Liu, Stephen Wu, Kenji Fukumizu, Ryo Yoshida:
A General Class of Transfer Learning Regression without Implementation Cost. AAAI 2021: 8992-8999 - 2020
- [i7]Shunya Minami, Song Liu, Stephen Wu, Kenji Fukumizu, Ryo Yoshida:
A General Class of Transfer Learning Regression without Implementation Cost. CoRR abs/2006.13228 (2020)
2010 – 2019
- 2019
- [c9]Song Liu, Takafumi Kanamori, Wittawat Jitkrittum, Yu Chen:
Fisher Efficient Inference of Intractable Models. NeurIPS 2019: 8790-8800 - [i6]Song Liu, Takafumi Kanamori:
Estimating Density Models with Complex Truncation Boundaries. CoRR abs/1910.03834 (2019) - 2018
- [j5]Yung-Kyun Noh, Masashi Sugiyama, Song Liu, Marthinus Christoffel du Plessis, Frank Chongwoo Park, Daniel D. Lee:
Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence. Neural Comput. 30(7) (2018) - [i5]Song Liu, Wittawat Jitkrittum, Carl Henrik Ek:
Model Inference with Stein Density Ratio Estimation. CoRR abs/1805.07454 (2018) - 2017
- [c8]Song Liu, Akiko Takeda, Taiji Suzuki, Kenji Fukumizu:
Trimmed Density Ratio Estimation. NIPS 2017: 4518-4528 - [i4]Makoto Yamada, Song Liu, Samuel Kaski:
Interpreting Outliers: Localized Logistic Regression for Density Ratio Estimation. CoRR abs/1702.06354 (2017) - 2016
- [c7]Song Liu, Taiji Suzuki, Masashi Sugiyama, Kenji Fukumizu:
Structure Learning of Partitioned Markov Networks. ICML 2016: 439-448 - [c6]Song Liu, Kenji Fukumizu:
Estimating Posterior Ratio for Classification: Transfer Learning from Probabilistic Perspective. SDM 2016: 747-755 - 2015
- [c5]Song Liu, Taiji Suzuki, Masashi Sugiyama:
Support Consistency of Direct Sparse-Change Learning in Markov Networks. AAAI 2015: 2785-2791 - [i3]Song Liu, Kenji Fukumizu:
Lazy Transfer Learning. CoRR abs/1506.02784 (2015) - 2014
- [j4]Song Liu, John A. Quinn, Michael U. Gutmann, Taiji Suzuki, Masashi Sugiyama:
Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation. Neural Comput. 26(6): 1169-1197 (2014) - [c4]Yung-Kyun Noh, Masashi Sugiyama, Song Liu, Marthinus Christoffel du Plessis, Frank Chongwoo Park, Daniel D. Lee:
Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence. AISTATS 2014: 669-677 - 2013
- [j3]Masashi Sugiyama, Song Liu, Marthinus Christoffel du Plessis, Masao Yamanaka, Makoto Yamada, Taiji Suzuki, Takafumi Kanamori:
Direct Divergence Approximation between Probability Distributions and Its Applications in Machine Learning. J. Comput. Sci. Eng. 7(2): 99-111 (2013) - [j2]Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Marthinus Christoffel du Plessis, Song Liu, Ichiro Takeuchi:
Density-Difference Estimation. Neural Comput. 25(10): 2734-2775 (2013) - [j1]Song Liu, Makoto Yamada, Nigel Collier, Masashi Sugiyama:
Change-point detection in time-series data by relative density-ratio estimation. Neural Networks 43: 72-83 (2013) - [c3]Song Liu, John A. Quinn, Michael U. Gutmann, Masashi Sugiyama:
Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation. ECML/PKDD (2) 2013: 596-611 - 2012
- [c2]Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Marthinus Christoffel du Plessis, Song Liu, Ichiro Takeuchi:
Density-Difference Estimation. NIPS 2012: 692-700 - [c1]Song Liu, Makoto Yamada, Nigel Collier, Masashi Sugiyama:
Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation. SSPR/SPR 2012: 363-372 - [i2]Song Liu, Makoto Yamada, Nigel Collier, Masashi Sugiyama:
Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation. CoRR abs/1203.0453 (2012) - [i1]Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Marthinus Christoffel du Plessis, Song Liu, Ichiro Takeuchi:
Density-Difference Estimation. CoRR abs/1207.0099 (2012)
Coauthor Index
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