A Short Survey on Importance Weighting for Machine Learning

A Short Survey on Importance Weighting for Machine Learning

15 March 2024

Masanari Kimura

Papers citing "A Short Survey on Importance Weighting for Machine Learning"

9 / 9 papers shown

Title
General Frameworks for Conditional Two-Sample Testing Seongchan Lee Suman Cha Ilmun Kim 30 0 0 22 Oct 2024
Optimizing importance weighting in the presence of sub-population shifts Floris Holstege Bram Wouters Noud van Giersbergen C. Diks 19 0 0 18 Oct 2024
Density Ratio Estimation via Sampling along Generalized Geodesics on Statistical Manifolds Masanari Kimura H. Bondell 18 4 0 27 Jun 2024
Automatic Domain Adaptation by Transformers in In-Context Learning Ryuichiro Hataya Kota Matsui Masaaki Imaizumi 24 1 0 27 May 2024
Dual Focal Loss for Calibration Linwei Tao Minjing Dong Chang Xu UQCV 25 26 0 23 May 2023
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup Zongbo Han Zhipeng Liang Fan Yang Liu Liu Lanqing Li Yatao Bian P. Zhao Bing Wu Changqing Zhang Jianhua Yao 48 34 0 19 Sep 2022
Importance Tempering: Group Robustness for Overparameterized Models Yiping Lu Wenlong Ji Zachary Izzo Lexing Ying 23 7 0 19 Sep 2022
Fair Representation Learning through Implicit Path Alignment Changjian Shui Qi Chen Jiaqi Li Boyu Wang Christian Gagné 36 27 0 26 May 2022
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation Jian Liang Yunbo Wang Dapeng Hu R. He Jiashi Feng 135 104 0 05 Mar 2020