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Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions

20 July 2017

Joris M. Mooij

Papers citing "Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions"

50 / 138 papers shown

Title
Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation Ioana Bica M. Schaar OOD CML 72 22 0 08 Oct 2022
Learning Invariant Representations under General Interventions on the Response Kang Du Yu Xiang OOD 103 8 0 22 Aug 2022
Subtype-Aware Dynamic Unsupervised Domain Adaptation Xiaofeng Liu Fangxu Xing Jane You Jun Lu C.-C. Jay Kuo Xiaofeng Liu Jonghye Woo OOD 116 7 0 16 Aug 2022
DAPDAG: Domain Adaptation via Perturbed DAG Reconstruction Yanke Li Hatt Tobias Ioana Bica M. Schaar CML 78 0 0 02 Aug 2022
PAC-Bayesian Domain Adaptation Bounds for Multiclass Learners Anthony Sicilia Katherine Atwell Malihe Alikhani Seong Jae Hwang BDL 93 10 0 12 Jul 2022
Invariant and Transportable Representations for Anti-Causal Domain Shifts Yibo Jiang Victor Veitch OOD 189 36 0 04 Jul 2022
On the Generalization and Adaption Performance of Causal Models Nino Scherrer Anirudh Goyal Stefan Bauer Yoshua Bengio Nan Rosemary Ke CML OOD BDL TTA 80 8 0 09 Jun 2022
In the Eye of the Beholder: Robust Prediction with Causal User Modeling Amir Feder G. Horowitz Yoav Wald Roi Reichart Nir Rosenfeld OOD 91 7 0 01 Jun 2022
Evaluating Robustness to Dataset Shift via Parametric Robustness Sets Nikolaj Thams Michael Oberst David Sontag OOD 108 12 0 31 May 2022
PAC Generalization via Invariant Representations Advait Parulekar Karthikeyan Shanmugam Sanjay Shakkottai 93 4 0 30 May 2022
On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis Xuetong Wu Biwei Huang J. Manton U. Aickelin Jingge Zhu CML 62 2 0 10 May 2022
Causal Transportability for Visual Recognition Chengzhi Mao K. Xia James Wang Hongya Wang Junfeng Yang Elias Bareinboim Carl Vondrick CML OOD BDL 108 35 0 26 Apr 2022
Improving generalization of machine learning-identified biomarkers with causal modeling: an investigation into immune receptor diagnostics Milena Pavlović Ghadi S. Al Hajj Chakravarthi Kanduri J. Pensar Mollie E. Wood L. Sollid Victor Greiff G. K. Sandve CML OOD AI4CE 61 4 0 20 Apr 2022
Causal Domain Adaptation with Copula Entropy based Conditional Independence Test Jian Ma TTA OOD CML 38 0 0 27 Feb 2022
Generalizable Information Theoretic Causal Representation Mengyue Yang Xin-Qiang Cai Furui Liu Xu Chen Zhitang Chen Jianye Hao Jun Wang OOD CML 120 1 0 17 Feb 2022
Exploiting Independent Instruments: Identification and Distribution Generalization Sorawit Saengkyongam Leonard Henckel Niklas Pfister J. Peters 88 18 0 03 Feb 2022
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings Jessica Schrouff Natalie Harris Oluwasanmi Koyejo Ibrahim Alabdulmohsin Eva Schnider ... Vivek Natarajan Alan Karthikesalingam Katherine A. Heller Silvia Chiappa Alexander DÁmour OOD 166 56 0 02 Feb 2022
Invariant Ancestry Search Phillip B. Mogensen Nikolaj Thams J. Peters 96 5 0 02 Feb 2022
Efficiently Disentangle Causal Representations Yuanpeng Li Joel Hestness Mohamed Elhoseiny Liang Zhao Kenneth Church OOD CML 29 1 0 06 Jan 2022
The Connection between Out-of-Distribution Generalization and Privacy of ML Models Divyat Mahajan Shruti Tople Amit Sharma OOD 112 7 0 07 Oct 2021
Beyond Discriminant Patterns: On the Robustness of Decision Rule Ensembles Xin Du S. Ramamoorthy W. Duivesteijn Jin Tian Mykola Pechenizkiy 72 3 0 21 Sep 2021
Sample Observed Effects: Enumeration, Randomization and Generalization Andre F. Ribeiro CML 38 4 0 09 Aug 2021
Towards Unbiased Visual Emotion Recognition via Causal Intervention Yuedong Chen Xu Yang Tat-Jen Cham Jianfei Cai OOD CML 69 19 0 26 Jul 2021
Which Invariance Should We Transfer? A Causal Minimax Learning Approach Mingzhou Liu Xiangyu Zheng Xinwei Sun Fang Fang Yizhou Wang OOD 47 2 0 05 Jul 2021
Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge Abhin Shah Karthikeyan Shanmugam Kartik Ahuja CML 69 13 0 22 Jun 2021
Stratified Learning: A General-Purpose Statistical Method for Improved Learning under Covariate Shift Maximilian Autenrieth David van Dyk R. Trotta D. Stenning OOD 23 3 0 21 Jun 2021
Independent mechanism analysis, a new concept? Luigi Gresele Julius von Kügelgen Vincent Stimper Bernhard Schölkopf M. Besserve CML 109 102 0 09 Jun 2021
Towards a Theoretical Framework of Out-of-Distribution Generalization Haotian Ye Chuanlong Xie Tianle Cai Ruichen Li Zhenguo Li Liwei Wang OODD OOD 136 112 0 08 Jun 2021
An Information-theoretic Approach to Distribution Shifts Marco Federici Ryota Tomioka Patrick Forré OOD 90 20 0 07 Jun 2021
Contrastive ACE: Domain Generalization Through Alignment of Causal Mechanisms Yunqi Wang Furui Liu Zhitang Chen Qing Lian Guangyong Chen Jianye Hao Yik-Chung Wu OOD CML 72 35 0 02 Jun 2021
Invariant Policy Learning: A Causal Perspective Sorawit Saengkyongam Nikolaj Thams J. Peters Niklas Pfister CML OffRL 85 15 0 01 Jun 2021
Adaptive Multi-Source Causal Inference Thanh Vinh Vo Pengfei Wei T. Hoang Tze-Yun Leong 92 1 0 31 May 2021
Robust Learning in Heterogeneous Contexts Muhammad Osama Dave Zachariah Petre Stoica OOD 14 2 0 18 May 2021
Zero-Shot Recommender Systems Hao Ding Yifei Ma Anoop Deoras Bernie Wang Hao Wang VLM 53 94 0 18 May 2021
Learning Under Adversarial and Interventional Shifts Harvineet Singh Shalmali Joshi Finale Doshi-Velez Himabindu Lakkaraju OOD 58 3 0 29 Mar 2021
Learning Domain Invariant Representations for Generalizable Person Re-Identification Yi-Fan Zhang Zhang Zhang Da Li Zhen Jia Liang Wang Tieniu Tan OOD 118 44 0 29 Mar 2021
Regularizing towards Causal Invariance: Linear Models with Proxies Michael Oberst Nikolaj Thams J. Peters David Sontag OOD 78 25 0 03 Mar 2021
Relate and Predict: Structure-Aware Prediction with Jointly Optimized Neural DAG Arshdeep Sekhon Zhe Wang Yanjun Qi GNN 23 0 0 03 Mar 2021
Scalable Causal Domain Adaptation Mohammad Ali Javidian O. Pandey Pooyan Jamshidi CML 65 4 0 27 Feb 2021
Incorporating Causal Graphical Prior Knowledge into Predictive Modeling via Simple Data Augmentation Takeshi Teshima Masashi Sugiyama CML 91 13 0 27 Feb 2021
Nonlinear Invariant Risk Minimization: A Causal Approach Chaochao Lu Yuhuai Wu Jośe Miguel Hernández-Lobato Bernhard Schölkopf CML OOD 130 52 0 24 Feb 2021
Towards Causal Representation Learning Bernhard Schölkopf Francesco Locatello Stefan Bauer Nan Rosemary Ke Nal Kalchbrenner Anirudh Goyal Yoshua Bengio OOD CML AI4CE 155 322 0 22 Feb 2021
On Calibration and Out-of-domain Generalization Yoav Wald Amir Feder D. Greenfeld Uri Shalit OODD 127 158 0 20 Feb 2021
Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge Trent Kyono Ioana Bica Zhaozhi Qian Mihaela van der Schaar OOD CML 33 7 0 11 Feb 2021
Out-of-Distribution Generalization Analysis via Influence Function Haotian Ye Chuanlong Xie Yue Liu Zhenguo Li OOD 52 13 0 21 Jan 2021
Model Compression for Domain Adaptation through Causal Effect Estimation Guy Rotman Amir Feder Roi Reichart CML 92 7 0 18 Jan 2021
Learning to Ignore: Fair and Task Independent Representations Linda Helen Boedi H. Grabner FaML OOD 26 1 0 11 Jan 2021
Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis Xiaofeng Liu Xiongchang Liu Bo Hu Wenxuan Ji Fangxu Xing Jun Lu J. You C.-C. Jay Kuo Xiaofeng Liu Jonghye Woo OOD 148 34 0 01 Jan 2021
Invariant Representation Learning for Treatment Effect Estimation Claudia Shi Victor Veitch David M. Blei OOD CML 57 31 0 24 Nov 2020
Balance Regularized Neural Network Models for Causal Effect Estimation Mehrdad Farajtabar Andrew Lee Yuanjian Feng Vishal Gupta Peter Dolan Harish Chandran M. Szummer CML 49 6 0 23 Nov 2020