2 citations · 4 across the 5 of their papers we have counts for
8 papers
Cramér-type Moderate Deviation for Quadratic Forms with a Fast Rate
Xiao Fang, Song-Hao Liu, Qi-Man Shao
Let be independent and identically distributed random vectors in . Suppose , , where is the $d\times d…
Continual Density Ratio Estimation in an Online Setting
Yu Chen, Song Liu, Tom Diethe +1
In online applications with streaming data, awareness of how far the training or test set has shifted away from the original dataset can be crucial to the performance of the model.…
A General Class of Transfer Learning Regression without Implementation Cost
Shunya Minami, Song Liu, Stephen Wu +2
We propose a novel framework that unifies and extends existing methods of transfer learning (TL) for regression. To bridge a pretrained source model to the model on a target task,…
Posterior Ratio Estimation of Latent Variables
Song Liu, Yulong Zhang, Mingxuan Yi +1
Density Ratio Estimation has attracted attention from the machine learning community due to its ability to compare the underlying distributions of two datasets. However, in some ap…
Two-sample inference for high-dimensional Markov networks
Byol Kim, Song Liu, Mladen Kolar
Markov networks are frequently used in sciences to represent conditional independence relationships underlying observed variables arising from a complex system. It is often of inte…
Fisher Efficient Inference of Intractable Models
Song Liu, Takafumi Kanamori, Wittawat Jitkrittum +1
Maximum Likelihood Estimators (MLE) has many good properties. For example, the asymptotic variance of MLE solution attains equality of the asymptotic Cram{é}r-Rao lower bound (effi…