Song Liu
Song Liu
Lecturer in Statistical Science, University of Bristol, UK
Verified email at bristol.ac.uk - Homepage
Title
Cited by
Cited by
Year
Change-point detection in time-series data by relative density-ratio estimation
S Liu, M Yamada, N Collier, M Sugiyama
Neural Networks 43, 72-83, 2013
3152013
Density-difference estimation
M Sugiyama, T Kanamori, T Suzuki, MC Plessis, S Liu, I Takeuchi
Neural Computation 25 (10), 2734-2775, 2013
672013
Direct learning of sparse changes in Markov networks by density ratio estimation
S Liu, JA Quinn, MU Gutmann, T Suzuki, M Sugiyama
Neural computation 26 (6), 1169-1197, 2014
262014
Direct divergence approximation between probability distributions and its applications in machine learning
M Sugiyama, S Liu, MC Du Plessis, M Yamanaka, M Yamada, T Suzuki, ...
Journal of Computing Science and Engineering 7 (2), 99-111, 2013
222013
Statistical outlier detection for diagnosis of cyber attacks in power state estimation
Y Chakhchoukh, S Liu, M Sugiyama, H Ishii
2016 IEEE Power and Energy Society General Meeting (PESGM), 1-5, 2016
162016
Support consistency of direct sparse-change learning in Markov networks
S Liu, T Suzuki, R Relator, J Sese, M Sugiyama, K Fukumizu
The Annals of Statistics 45 (3), 959-990, 2017
142017
Density-difference estimation
M Sugiyama, T Kanamori, T Suzuki, MD Plessis, S Liu, I Takeuchi
Advances in neural information processing systems, 683-691, 2012
142012
Bias reduction and metric learning for nearest-neighbor estimation of Kullback-Leibler divergence
YK Noh, M Sugiyama, S Liu, MC Plessis, FC Park, DD Lee
Artificial Intelligence and Statistics, 669-677, 2014
122014
Bias reduction and metric learning for nearest-neighbor estimation of Kullback-Leibler divergence
YK Noh, M Sugiyama, S Liu, MC Plessis, FC Park, DD Lee
Artificial Intelligence and Statistics, 669-677, 2014
122014
Direct learning of sparse changes in markov networks by density ratio estimation
S Liu, JA Quinn, MU Gutmann, M Sugiyama
Joint European conference on machine learning and knowledge discovery in …, 2013
112013
Learning sparse structural changes in high-dimensional Markov networks
S Liu, K Fukumizu, T Suzuki
Behaviormetrika 44 (1), 265-286, 2017
92017
Support consistency of direct sparse-change learning in Markov networks
S Liu, T Suzuki, M Sugiyama
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
92015
Trimmed density ratio estimation
S Liu, A Takeda, T Suzuki, K Fukumizu
Advances in Neural Information Processing Systems, 4518-4528, 2017
62017
Generic multiplicative methods for implementing machine learning algorithms on mapreduce
S Liu, P Flach, N Cristianini
arXiv preprint arXiv:1111.2111, 2011
32011
Interpreting Outliers: Localized Logistic Regression for Density Ratio Estimation
M Yamada, S Liu, S Kaski
arXiv preprint arXiv:1702.06354, 2017
22017
Load pattern analysis of key accounts based on two-step clustering
Y Li, Q Huang, S Liu, P Liu
Proceedings of the 2016 International Conference on Intelligent Information …, 2016
12016
Structure learning of partitioned Markov networks
S Liu, T Suzuki, M Sugiyama, K Fukumizu
International Conference on Machine Learning, 439-448, 2016
12016
非定常環境下での学習: 共変量シフト適応, クラスバランス変化適応, 変化検知
杉山将, 山田誠, ドゥ・プレシマーティヌス・クリストフェル
日本統計学会誌 44 (1), 113-136, 2014
12014
Change-point detection in time-series data by relative density-ratio estimation
S Liu, M Yamada, M Sugiyama
電子情報通信学会技術研究報告. IBISML, 情報論的学習理論と機械学習= IEICE …, 2011
12011
Model Inference with Stein Density Ratio Estimation
S Liu, W Jitkrittum, CH Ek
arXiv:1805.07454, 2018
2018
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Articles 1–20