v1v2v3v4 (latest)

A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization

3 November 2021

Renzhe Xu

Xingxuan Zhang

Zheyan Shen

Tong Zhang

Peng Cui

OOD

ArXiv (abs)PDF HTML

Papers citing "A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization"

24 / 24 papers shown

Title
NICO++: Towards Better Benchmarking for Domain Generalization Xingxuan Zhang Linjun Zhou Renzhe Xu Haoxin Liu Zheyan Shen Peng Cui OOD 95 78 0 17 Apr 2022
Towards Domain Generalization in Object Detection Xingxuan Zhang Zekai Xu Renzhe Xu Jiashuo Liu Peng Cui Weitao Wan Chong Sun Chen Li ObjD OOD 94 24 0 27 Mar 2022
Optimal Representations for Covariate Shift Yangjun Ruan Yann Dubois Chris J. Maddison OOD 118 69 0 31 Dec 2021
Kernelized Heterogeneous Risk Minimization Jiashuo Liu Zheyuan Hu Peng Cui Yangqiu Song Zheyan Shen OOD 71 35 0 24 Oct 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 160 535 0 31 Aug 2021
Deep Stable Learning for Out-Of-Distribution Generalization Xingxuan Zhang Peng Cui Renzhe Xu Linjun Zhou Yue He Zheyan Shen OOD 84 258 0 16 Apr 2021
Domain Generalization: A Survey Kaiyang Zhou Ziwei Liu Yu Qiao Tao Xiang Chen Change Loy OOD AI4CE 262 1,028 0 03 Mar 2021
Rethinking Importance Weighting for Deep Learning under Distribution Shift Tongtong Fang Nan Lu Gang Niu Masashi Sugiyama 83 139 0 08 Jun 2020
Balance-Subsampled Stable Prediction Kun Kuang Hengtao Zhang Leilei Gan Yueting Zhuang Aijun Zhang OOD 59 3 0 08 Jun 2020
A Unified View of Label Shift Estimation Saurabh Garg Yifan Wu Sivaraman Balakrishnan Zachary Chase Lipton 86 146 0 17 Mar 2020
Stable Prediction with Model Misspecification and Agnostic Distribution Shift Kun Kuang Ruoxuan Xiong Peng Cui Susan Athey Yue Liu OOD 56 130 0 31 Jan 2020
Stable Learning via Sample Reweighting Zheyan Shen Peng Cui Tong Zhang Kun Kuang OOD 84 130 0 28 Nov 2019
Learning Sparse Nonparametric DAGs Xun Zheng Chen Dan Bryon Aragam Pradeep Ravikumar Eric Xing CML 178 261 0 29 Sep 2019
Learning Models with Uniform Performance via Distributionally Robust Optimization John C. Duchi Hongseok Namkoong OOD 98 424 0 20 Oct 2018
Stable Prediction across Unknown Environments Kun Kuang Ruoxuan Xiong Peng Cui Susan Athey Bo Li OOD 91 167 0 16 Jun 2018
Causally Regularized Learning with Agnostic Data Selection Bias Zheyan Shen Peng Cui Kun Kuang Yangqiu Song Peixuan Chen OOD 80 93 0 22 Aug 2017
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 308 730 0 12 May 2016
Causal inference using invariant prediction: identification and confidence intervals J. Peters Peter Buhlmann N. Meinshausen OOD 124 974 0 06 Jan 2015
Causal Inference in the Presence of Latent Variables and Selection Bias Peter Spirtes Christopher Meek Thomas S. Richardson CML 206 448 0 20 Feb 2013
Equivalence of distance-based and RKHS-based statistics in hypothesis testing Dino Sejdinovic Bharath K. Sriperumbudur Arthur Gretton Kenji Fukumizu 234 688 0 25 Jul 2012
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 296 12,467 0 24 Jun 2012
A tail inequality for quadratic forms of subgaussian random vectors Daniel J. Hsu Sham Kakade Tong Zhang 150 422 0 13 Oct 2011
Domain Adaptation for Statistical Classifiers Hal Daumé D. Marcu OOD 109 912 0 28 Sep 2011
Sparse Additive Models Pradeep Ravikumar John D. Lafferty Han Liu Larry A. Wasserman 511 573 0 28 Nov 2007