Song Liu - RankMe

32 papers A* 5A 4Journal 18Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Zero-Flow Encoders. CoRR Yakun Wang, Leyang Wang, Song Liu, Taiji Suzuki
2025	A	`conf`	Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold. UAI Song Liu, Leyang Wang, Yakun Wang
2025	J	`jnl`	Guiding Time-Varying Generative Models with Natural Gradients on Exponential Family Manifold. CoRR Song Liu, Leyang Wang, Yakun Wang
2025	A	`conf`	High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching. AISTATS Daniel J. Williams, Leyang Wang, Qizhen Ying, Song Liu, Mladen Kolar
2025	J	`jnl`	Missing Data Imputation by Reducing Mutual Information with Rectified Flows. CoRR Jiahao Yu, Qizhen Ying, Leyang Wang, Ziyue Jiang, Song Liu
2024	J	`jnl`	High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching. CoRR Daniel J. Williams, Leyang Wang, Qizhen Ying, Song Liu, Mladen Kolar
2023	A*	`conf`	Approximate Stein Classes for Truncated Density Estimation. ICML Daniel J. Williams, Song Liu
2023	J	`jnl`	Approximate Stein Classes for Truncated Density Estimation. CoRR Daniel J. Williams, Song Liu
2022	J	`jnl`	Estimating Density Models with Truncation Boundaries using Score Matching. J. Mach. Learn. Res. Song Liu, Takafumi Kanamori, Daniel J. Williams
2022	—	`conf`	Score Matching for Truncated Density Estimation on a Manifold. TAG-ML Daniel J. Williams, Song Liu
2021	A*	`conf`	A General Class of Transfer Learning Regression without Implementation Cost. AAAI Shunya Minami, Song Liu, Stephen Wu, Kenji Fukumizu, Ryo Yoshida
2020	J	`jnl`	A General Class of Transfer Learning Regression without Implementation Cost. CoRR Shunya Minami, Song Liu, Stephen Wu, Kenji Fukumizu, Ryo Yoshida
2019	J	`jnl`	Estimating Density Models with Complex Truncation Boundaries. CoRR Song Liu, Takafumi Kanamori
2019	A*	`conf`	Fisher Efficient Inference of Intractable Models. NeurIPS Song Liu, Takafumi Kanamori, Wittawat Jitkrittum, Yu Chen
2018	J	`jnl`	Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence. Neural Comput. Yung-Kyun Noh, Masashi Sugiyama, Song Liu, Marthinus Christoffel du Plessis, Frank Chongwoo Park, Daniel D. Lee
2018	J	`jnl`	Model Inference with Stein Density Ratio Estimation. CoRR Song Liu, Wittawat Jitkrittum, Carl Henrik Ek
2017	J	`jnl`	Interpreting Outliers: Localized Logistic Regression for Density Ratio Estimation. CoRR Makoto Yamada, Song Liu, Samuel Kaski
2017	—	`conf`	Trimmed Density Ratio Estimation. NIPS Song Liu, Akiko Takeda, Taiji Suzuki, Kenji Fukumizu
2016	A	`conf`	Estimating Posterior Ratio for Classification: Transfer Learning from Probabilistic Perspective. SDM Song Liu, Kenji Fukumizu
2016	A*	`conf`	Structure Learning of Partitioned Markov Networks. ICML Song Liu, Taiji Suzuki, Masashi Sugiyama, Kenji Fukumizu
2015	J	`jnl`	Lazy Transfer Learning. CoRR Song Liu, Kenji Fukumizu
2015	A*	`conf`	Support Consistency of Direct Sparse-Change Learning in Markov Networks. AAAI Song Liu, Taiji Suzuki, Masashi Sugiyama
2014	A	`conf`	Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence. AISTATS Yung-Kyun Noh, Masashi Sugiyama, Song Liu, Marthinus Christoffel du Plessis, Frank Chongwoo Park, Daniel D. Lee
2014	J	`jnl`	Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation. Neural Comput. Song Liu, John A. Quinn, Michael U. Gutmann, Taiji Suzuki, Masashi Sugiyama
2013	J	`jnl`	Change-point detection in time-series data by relative density-ratio estimation. Neural Networks Song Liu, Makoto Yamada, Nigel Collier, Masashi Sugiyama
2013	J	`jnl`	Density-Difference Estimation. Neural Comput. Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Marthinus Christoffel du Plessis, Song Liu, Ichiro Takeuchi
2013	J	`jnl`	Direct Divergence Approximation between Probability Distributions and Its Applications in Machine Learning. J. Comput. Sci. Eng. Masashi Sugiyama, Song Liu, Marthinus Christoffel du Plessis, Masao Yamanaka, Makoto Yamada, Taiji Suzuki, Takafumi Kanamori
2013	—	`conf`	Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation. ECML/PKDD (2) Song Liu, John A. Quinn, Michael U. Gutmann, Masashi Sugiyama
2012	J	`jnl`	Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation CoRR Song Liu, Makoto Yamada, Nigel Collier, Masashi Sugiyama
2012	—	`conf`	Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation. SSPR/SPR Song Liu, Makoto Yamada, Nigel Collier, Masashi Sugiyama
2012	J	`jnl`	Density-Difference Estimation CoRR Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Marthinus Christoffel du Plessis, Song Liu, Ichiro Takeuchi
2012	—	`conf`	Density-Difference Estimation. NIPS Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Marthinus Christoffel du Plessis, Song Liu, Ichiro Takeuchi