Song Liu

Affiliations:
  • University of Bristol, UK
  • Institute of Statistical Mathematics, Tokyo, Japan (former)
  • Tokyo Institute of Technology, Japan (former)


According to our database1, Song Liu authored at least 18 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Approximate Stein Classes for Truncated Density Estimation.
Proceedings of the International Conference on Machine Learning, 2023

2022
Estimating Density Models with Truncation Boundaries using Score Matching.
J. Mach. Learn. Res., 2022

2021
A General Class of Transfer Learning Regression without Implementation Cost.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019
Estimating Density Models with Complex Truncation Boundaries.
CoRR, 2019

Fisher Efficient Inference of Intractable Models.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence.
Neural Comput., 2018

Model Inference with Stein Density Ratio Estimation.
CoRR, 2018

2017
Interpreting Outliers: Localized Logistic Regression for Density Ratio Estimation.
CoRR, 2017

Trimmed Density Ratio Estimation.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Estimating Posterior Ratio for Classification: Transfer Learning from Probabilistic Perspective.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Structure Learning of Partitioned Markov Networks.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Lazy Transfer Learning.
CoRR, 2015

Support Consistency of Direct Sparse-Change Learning in Markov Networks.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation.
Neural Comput., 2014

2013
Change-point detection in time-series data by relative density-ratio estimation.
Neural Networks, 2013

Density-Difference Estimation.
Neural Comput., 2013

Direct Divergence Approximation between Probability Distributions and Its Applications in Machine Learning.
J. Comput. Sci. Eng., 2013

Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013


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