External Validity: From Do-Calculus to Transportability Across Populations

5 March 2015

Papers citing "External Validity: From Do-Calculus to Transportability Across Populations"

42 / 42 papers shown

Title
Interpreting Low-level Vision Models with Causal Effect Maps Jinfan Hu Jinjin Gu Shiyao Yu Fanghua Yu Zheyuan Li Zhiyuan You Chaochao Lu Chao Dong CML 228 3 0 29 Jul 2024
Learning Invariant Causal Mechanism from Vision-Language Models Changwen Zheng Siyu Zhao Xingyu Zhang Jiangmeng Li Changwen Zheng Jingyao Wang CML BDL VLM 127 0 0 24 May 2024
AI for Anticipatory Action: Moving Beyond Climate Forecasting Benjamin Q. Huynh M. Kiang AI4CE 64 0 0 28 Jul 2023
Causal Effect Estimation from Observational and Interventional Data Through Matrix Weighted Linear Estimators Klaus-Rudolf Kladny Julius von Kügelgen Bernhard Schölkopf Michael Muehlebach CML 37 0 0 09 Jun 2023
Nonparametric Identifiability of Causal Representations from Unknown Interventions Julius von Kügelgen M. Besserve Wendong Liang Luigi Gresele Armin Kekić Elias Bareinboim David M. Blei Bernhard Schölkopf CML 184 65 0 01 Jun 2023
Out-of-Variable Generalization for Discriminative Models Siyuan Guo J. Wildberger Bernhard Schölkopf OOD CML 99 2 0 16 Apr 2023
Causal Deep Learning M. Alex O. Vasilescu CML 163 3 1 01 Jan 2023
Causal inference in drug discovery and development T. Michoel J. Zhang CML 68 19 0 29 Sep 2022
Falsification before Extrapolation in Causal Effect Estimation Zeshan Hussain Michael Oberst M. Shih David Sontag CML 95 9 0 27 Sep 2022
Learning Invariant Representations under General Interventions on the Response Kang Du Yu Xiang OOD 103 8 0 22 Aug 2022
Causal foundations of bias, disparity and fairness V. Traag L. Waltman CML 46 11 0 27 Jul 2022
Image-based Treatment Effect Heterogeneity Connor Jerzak Fredrik D. Johansson Adel Daoud 123 22 0 13 Jun 2022
From Statistical to Causal Learning Bernhard Schölkopf Julius von Kügelgen CML 100 46 0 01 Apr 2022
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data Siyuan Guo V. Tóth Bernhard Schölkopf Ferenc Huszár CML 106 37 0 29 Mar 2022
Causal Inference Through the Structural Causal Marginal Problem Luigi Gresele Julius von Kügelgen Jonas M. Kubler Elke Kirschbaum Bernhard Schölkopf Dominik Janzing 100 20 0 02 Feb 2022
Targeted Optimal Treatment Regime Learning Using Summary Statistics Jianing Chu Wenbin Lu Shu Yang CML 86 22 0 17 Jan 2022
Deconfounded Visual Grounding Jianqiang Huang Yu Qin Jiaxin Qi Qianru Sun Hanwang Zhang CML ObjD 63 33 0 31 Dec 2021
Causal Multi-Agent Reinforcement Learning: Review and Open Problems St John Grimbly Jonathan P. Shock Arnu Pretorius 107 19 0 12 Nov 2021
Sequential Kernel Embedding for Mediated and Time-Varying Dose Response Curves Rahul Singh Liyuan Xu Arthur Gretton 139 3 0 06 Nov 2021
Minimax Rates and Adaptivity in Combining Experimental and Observational Data Shuxiao Chen B. Zhang T. Ye CML 116 24 0 22 Sep 2021
Parameterizing and Simulating from Causal Models R. Evans Vanessa Didelez CML 92 19 0 08 Sep 2021
Sample Observed Effects: Enumeration, Randomization and Generalization Andre F. Ribeiro CML 43 4 0 09 Aug 2021
Transporting Causal Mechanisms for Unsupervised Domain Adaptation Zhongqi Yue Qianru Sun Xiansheng Hua Hanwang Zhang CML 139 56 0 23 Jul 2021
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain Lukas Schott Julius von Kügelgen Frederik Trauble Peter V. Gehler Chris Russell Matthias Bethge Bernhard Schölkopf Francesco Locatello Wieland Brendel OOD DRL 133 74 0 17 Jul 2021
Independent mechanism analysis, a new concept? Luigi Gresele Julius von Kügelgen Vincent Stimper Bernhard Schölkopf M. Besserve CML 111 102 0 09 Jun 2021
Adaptive Multi-Source Causal Inference Thanh Vinh Vo Pengfei Wei T. Hoang Tze-Yun Leong 94 1 0 31 May 2021
Switching Contexts: Transportability Measures for NLP G. Marshall Mokanarangan Thayaparan P. Osborne André Freitas OT 30 1 0 03 May 2021
Causal Attention for Vision-Language Tasks Xu Yang Hanwang Zhang Guojun Qi Jianfei Cai CML 101 158 0 05 Mar 2021
CausalX: Causal Explanations and Block Multilinear Factor Analysis M. Alex O. Vasilescu Eric Kim Xiao-Song Zeng CML 158 10 0 25 Feb 2021
A Review of Generalizability and Transportability Irina Degtiar Sherri Rose CML 53 220 0 23 Feb 2021
Towards Causal Representation Learning Bernhard Schölkopf Francesco Locatello Stefan Bauer Nan Rosemary Ke Nal Kalchbrenner Anirudh Goyal Yoshua Bengio OOD CML AI4CE 160 322 0 22 Feb 2021
Out-of-distribution Prediction with Invariant Risk Minimization: The Limitation and An Effective Fix Ruocheng Guo Pengchuan Zhang Hao Liu Emre Kıcıman OOD 80 37 0 16 Jan 2021
Domain adaptation under structural causal models Yuansi Chen Peter Buhlmann CML OOD AI4CE 132 40 0 29 Oct 2020
Estimating Causal Effects with the Neural Autoregressive Density Estimator Sergio Garrido S. Borysov Jeppe Rich Francisco Câmara Pereira CML 64 7 0 17 Aug 2020
Learning Optimal Distributionally Robust Individualized Treatment Rules Weibin Mo Zhengling Qi Yufeng Liu 99 49 0 26 Jun 2020
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation Masahiro Kato Takeshi Teshima 96 36 0 12 Jun 2020
Conformal Inference of Counterfactuals and Individual Treatment Effects Lihua Lei Emmanuel J. Candès CML 174 195 0 11 Jun 2020
An Analysis of the Adaptation Speed of Causal Models Rémi Le Priol Reza Babanezhad Harikandeh Yoshua Bengio Simon Lacoste-Julien CML 58 14 0 18 May 2020
Off-Policy Evaluation and Learning for External Validity under a Covariate Shift Masahiro Kato Masatoshi Uehara Shota Yasui OffRL 116 53 0 26 Feb 2020
Causality matters in medical imaging Daniel Coelho De Castro Ian Walker Ben Glocker CML 71 351 0 17 Dec 2019
Causality for Machine Learning Bernhard Schölkopf CML AI4CE LRM 124 466 0 24 Nov 2019
A Unifying Causal Framework for Analyzing Dataset Shift-stable Learning Algorithms Adarsh Subbaswamy Bryant Chen Suchi Saria OOD 57 18 0 27 May 2019