Density Ratio Estimation
30 papers with code • 0 benchmarks • 0 datasets
Estimating the ratio of one density function to the other.
Benchmarks
These leaderboards are used to track progress in Density Ratio Estimation
Most implemented papers
Sequential Density Ratio Estimation for Simultaneous Optimization of Speed and Accuracy
TaikiMiyagawa/SPRT-TANDEM
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ICLR 2021
Classifying sequential data as early and as accurately as possible is a challenging yet critical problem, especially when a sampling cost is high.
Condition Number Analysis of Kernel-based Density Ratio Estimation
JohnYKiyo/density_ratio_estimation
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We show that the kernel least-squares method has a smaller condition number than a version of kernel mean matching and other M-estimators, implying that the kernel least-squares method has preferable numerical properties.
Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation
The objective of change-point detection is to discover abrupt property changes lying behind time-series data.
Trimmed Density Ratio Estimation
Density ratio estimation is a vital tool in both machine learning and statistical community.
Fisher Efficient Inference of Intractable Models
For example, the asymptotic variance of MLE solution attains equality of the asymptotic Cram{\'e}r-Rao lower bound (efficiency bound), which is the minimum possible variance for an unbiased estimator.
Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space with Softplus Loss
UBCDingXin/DDRE_Sampling_GANs
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Our subsampling methods do not rely on the optimality of the discriminator and are suitable for all types of GANs.
Generalization of Change-Point Detection in Time Series Data Based on Direct Density Ratio Estimation
The goal of the change-point detection is to discover changes of time series distribution.
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation
MasaKat0/D3RE
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Density ratio estimation (DRE) is at the core of various machine learning tasks such as anomaly detection and domain adaptation.
Telescoping Density-Ratio Estimation
benrhodes26/tre_code
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NeurIPS 2020
Density-ratio estimation via classification is a cornerstone of unsupervised learning.
BORE: Bayesian Optimization by Density-Ratio Estimation
ltiao/bore
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Bayesian optimization (BO) is among the most effective and widely-used blackbox optimization methods.
