A One-step Approach to Covariate Shift Adaptation

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A One-step Approach to Covariate Shift Adaptation

8 July 2020

Masashi Sugiyama

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Papers citing "A One-step Approach to Covariate Shift Adaptation"

19 / 19 papers shown

Title
Mitigating covariate shift in non-colocated data with learned parameter priors Behraj Khan Behroz Mirza Nouman Durrani T. Syed 42 0 0 10 Nov 2024
Short-Long Policy Evaluation with Novel Actions Hyunji Alex Nam Yash Chandak Emma Brunskill OffRL 74 0 0 04 Jul 2024
Adapting to Covariate Shift in Real-time by Encoding Trees with Motion Equations Tham Yik Foong Heng Zhang Mao Po Yuan Danilo Vasconcellos Vargas OOD 70 0 0 08 Apr 2024
AdaTrans: Feature-wise and Sample-wise Adaptive Transfer Learning for High-dimensional Regression Zelin He Ying Sun Jingyuan Liu Runze Li 108 2 0 20 Mar 2024
Nearest Neighbor Sampling for Covariate Shift Adaptation Franccois Portier Lionel Truquet Ikko Yamane OffRL 39 1 0 15 Dec 2023
Differentially Private Domain Adaptation with Theoretical Guarantees Raef Bassily Corinna Cortes Anqi Mao M. Mohri 73 0 0 15 Jun 2023
Making Binary Classification from Multiple Unlabeled Datasets Almost Free of Supervision Yuhao Wu Xiaobo Xia Jun Yu Bo Han Gang Niu Masashi Sugiyama Tongliang Liu 92 3 0 12 Jun 2023
Federated Learning under Covariate Shifts with Generalization Guarantees Ali Ramezani-Kebrya Fanghui Liu Thomas Pethick Grigorios G. Chrysos Volkan Cevher FedML OOD 99 8 0 08 Jun 2023
Best-Effort Adaptation Pranjal Awasthi Corinna Cortes M. Mohri 91 8 0 10 May 2023
Information Geometrically Generalized Covariate Shift Adaptation Masanari Kimura H. Hino OOD 61 7 0 19 Apr 2023
Adapting to Continuous Covariate Shift via Online Density Ratio Estimation Yu Zhang Zhenyu Zhang Peng Zhao Masashi Sugiyama OOD 85 13 0 06 Feb 2023
Walk a Mile in Their Shoes: a New Fairness Criterion for Machine Learning N. Matloff 57 0 0 13 Oct 2022
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests Xilie Xu Jingfeng Zhang Feng Liu Masashi Sugiyama Mohan S. Kankanhalli AAML 62 2 0 07 Feb 2022
Rethinking Importance Weighting for Transfer Learning Nan Lu Tianyi Zhang Tongtong Fang Takeshi Teshima Masashi Sugiyama 51 11 0 19 Dec 2021
Being Properly Improper Tyler Sypherd Richard Nock Lalitha Sankar FaML 94 10 0 18 Jun 2021
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation Haoang Chi Feng Liu Wenjing Yang L. Lan Tongliang Liu Bo Han William Cheung James T. Kwok 95 27 0 11 Jun 2021
Binary Classification from Multiple Unlabeled Datasets via Surrogate Set Classification Nan Lu Shida Lei Gang Niu Issei Sato Masashi Sugiyama 63 13 0 01 Feb 2021
Maximum Mean Discrepancy Test is Aware of Adversarial Attacks Ruize Gao Feng Liu Jingfeng Zhang Bo Han Tongliang Liu Gang Niu Masashi Sugiyama AAML 104 58 0 22 Oct 2020
Rethinking Importance Weighting for Deep Learning under Distribution Shift Tongtong Fang Nan Lu Gang Niu Masashi Sugiyama 97 140 0 08 Jun 2020