arXiv:2309.07887
공식 코드 · Papers with Code
Some notes concerning a generalized KMM-type optimization method for density ratio estimation
원문 초록
In the present paper we introduce new optimization algorithms for the task of density ratio estimation. More precisely, we consider extending the well-known KMM method using the construction of a suitable loss function, in order to encompass more general situations involving the estimation of density ratio with respect to subsets of the training data and test data, respectively. The associated codes can be found at https://github.com/CDAlecsa/Generalized-KMM.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison
Dequantified Diffusion-Schr{ö}dinger Bridge for Density Ratio Estimation
Learning the Optimal Stopping for Early Classification within Finite Horizons via Sequential Probability Ratio Test
Your copula is a classifier in disguise: classification-based copula density estimation
How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective
Robust Conformal Volume Estimation in 3D Medical Images
토론
이 논문과 연결된 포럼 글이 아직 없습니다.