Causal inference using invariant prediction: identification and confidence intervals

6 January 2015

Papers citing "Causal inference using invariant prediction: identification and confidence intervals"

50 / 206 papers shown

Title
Optimal transport and Wasserstein distances for causal models Patrick Cheridito Stephan Eckstein OT 40 7 0 24 Mar 2023
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases Aengus Lynch G. Dovonon Jean Kaddour Ricardo M. A. Silva 205 30 0 09 Mar 2023
Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting An Zhang Fang Liu Wenchang Ma Zhibo Cai Xiang Wang Tat-Seng Chua CML 45 5 0 06 Mar 2023
Diagnosing Model Performance Under Distribution Shift Tiffany Cai Hongseok Namkoong Steve Yadlowsky 42 29 0 03 Mar 2023
Discovering Optimal Scoring Mechanisms in Causal Strategic Prediction Tom Yan Shantanu Gupta Zachary Chase Lipton CML 45 1 0 14 Feb 2023
Learning Optimal Features via Partial Invariance Moulik Choraria Ibtihal Ferwana Ankur Mani Lav Varshney OOD 33 2 0 28 Jan 2023
Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge S. Bouabid Jake Fawkes Dino Sejdinovic CML 49 0 0 26 Jan 2023
Model Agnostic Sample Reweighting for Out-of-Distribution Learning Xiao Zhou Yong Lin Renjie Pi Weizhong Zhang Renzhe Xu Peng Cui Tong Zhang OODD 44 61 0 24 Jan 2023
Generalized Invariant Matching Property via LASSO Kang Du Yu Xiang OOD 45 6 0 14 Jan 2023
A System-Level View on Out-of-Distribution Data in Robotics Rohan Sinha Apoorva Sharma Somrita Banerjee T. Lew Rachel Luo Spencer M. Richards Yixiao Sun Edward Schmerling Marco Pavone UQCV 50 24 0 28 Dec 2022
Target Conditioned Representation Independence (TCRI); From Domain-Invariant to Domain-General Representations Olawale Salaudeen Oluwasanmi Koyejo 34 3 0 21 Dec 2022
Exploring Optimal Substructure for Out-of-distribution Generalization via Feature-targeted Model Pruning Yingchun Wang Jingcai Guo Song Guo Weizhan Zhang Jiewei Zhang OODD 44 16 0 19 Dec 2022
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization Shiji Xin Yifei Wang Jingtong Su Yisen Wang OOD 30 7 0 18 Dec 2022
Deep Learning of Causal Structures in High Dimensions Kai Lagemann C. Lagemann B. Taschler S. Mukherjee CML BDL AI4CE 32 29 0 09 Dec 2022
Malign Overfitting: Interpolation Can Provably Preclude Invariance Yoav Wald G. Yona Uri Shalit Y. Carmon 24 7 0 28 Nov 2022
$Trust Your $\nabla$: Gradient-based Intervention Targeting for Causal Discovery$ Trust Your $\nabla$ : Gradient-based Intervention Targeting for Causal Discovery Mateusz Olko Michal Zajac A. Nowak Nino Scherrer Yashas Annadani Stefan Bauer Lukasz Kucinski Piotr Milos CML 51 2 0 24 Nov 2022
Variation-based Cause Effect Identification Mohamed Amine ben Salem Karim Barsim Bin Yang CML 35 0 0 22 Nov 2022
A Short Survey of Systematic Generalization Yuanpeng Li AI4CE 47 1 0 22 Nov 2022
First Steps Toward Understanding the Extrapolation of Nonlinear Models to Unseen Domains Kefan Dong Tengyu Ma OOD 21 20 0 21 Nov 2022
A Consistent Estimator for Confounding Strength Luca Rendsburg L. C. Vankadara D. Ghoshdastidar U. V. Luxburg CML 36 2 0 03 Nov 2022
FL Games: A Federated Learning Framework for Distribution Shifts Sharut Gupta Kartik Ahuja Mohammad Havaei N. Chatterjee Yoshua Bengio OOD FedML 36 18 0 31 Oct 2022
Causal Information Bottleneck Boosts Adversarial Robustness of Deep Neural Network Hua Hua Jun Yan Xi Fang Weiquan Huang Huilin Yin Wancheng Ge AAML 30 1 0 25 Oct 2022
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts Yoonho Lee Annie S. Chen Fahim Tajwar Ananya Kumar Huaxiu Yao Percy Liang Chelsea Finn OOD 72 201 0 20 Oct 2022
Env-Aware Anomaly Detection: Ignore Style Changes, Stay True to Content! Stefan Smeu Elena Burceanu Andrei Liviu Nicolicioiu Emanuela Haller 35 4 0 06 Oct 2022
Nuisances via Negativa: Adjusting for Spurious Correlations via Data Augmentation A. Puli Nitish Joshi Yoav Wald Hera Y. He Rajesh Ranganath 45 16 0 04 Oct 2022
Distribution inference risks: Identifying and mitigating sources of leakage Valentin Hartmann Léo Meynent Maxime Peyrard Dimitrios Dimitriadis Shruti Tople Robert West MIACV 31 14 0 18 Sep 2022
On a Built-in Conflict between Deep Learning and Systematic Generalization Yuanpeng Li OOD 45 0 0 24 Aug 2022
Meta-Causal Feature Learning for Out-of-Distribution Generalization Yuqing Wang Xiangxian Li Zhuang Qi Jingyu Li Xuelong Li Xiangxu Meng Lei Meng OOD OODD BDL 44 25 0 22 Aug 2022
Learning Invariant Representations under General Interventions on the Response Kang Du Yu Xiang OOD 31 8 0 22 Aug 2022
Repeated Environment Inference for Invariant Learning Aayush Mishra Anqi Liu BDL OOD 35 0 0 26 Jul 2022
Causal Discovery using Model Invariance through Knockoff Interventions Wasim Ahmad M. Shadaydeh Joachim Denzler CML 30 4 0 08 Jul 2022
Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning Damien Teney Maxime Peyrard Ehsan Abbasnejad 43 28 0 06 Jul 2022
Invariant and Transportable Representations for Anti-Causal Domain Shifts Yibo Jiang Victor Veitch OOD 131 32 0 04 Jul 2022
Learning to Increase the Power of Conditional Randomization Tests Shalev Shaer Yaniv Romano CML 43 2 0 03 Jul 2022
Towards out of distribution generalization for problems in mechanics Lingxiao Yuan Harold S. Park Emma Lejeune OOD AI4CE 36 17 0 29 Jun 2022
When Does Group Invariant Learning Survive Spurious Correlations? Yimeng Chen Ruibin Xiong Zhiming Ma Yanyan Lan OOD CML 43 21 0 29 Jun 2022
Gated Domain Units for Multi-source Domain Generalization Simon Foll Alina Dubatovka Eugen Ernst Siu Lun Chau Martin Maritsch Patrik Okanovic Gudrun Thater J. M. Buhmann Felix Wortmann Krikamol Muandet OOD 48 4 0 24 Jun 2022
GOOD: A Graph Out-of-Distribution Benchmark Shurui Gui Xiner Li Limei Wang Shuiwang Ji OOD 43 116 0 16 Jun 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 36 8 0 09 Jun 2022
Sample-Efficient Reinforcement Learning in the Presence of Exogenous Information Yonathan Efroni Dylan J. Foster Dipendra Kumar Misra A. Krishnamurthy John Langford OffRL 31 25 0 09 Jun 2022
Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis Ronan Perry Julius von Kügelgen Bernhard Schölkopf 46 48 0 04 Jun 2022
BaCaDI: Bayesian Causal Discovery with Unknown Interventions Alexander Hagele Jonas Rothfuss Lars Lorch Vignesh Ram Somnath Bernhard Schölkopf Andreas Krause CML BDL 53 20 0 03 Jun 2022
PAC Generalization via Invariant Representations Advait Parulekar Karthikeyan Shanmugam Sanjay Shakkottai 41 3 0 30 May 2022
The Missing Invariance Principle Found -- the Reciprocal Twin of Invariant Risk Minimization Dongsung Huh A. Baidya OOD 28 8 0 29 May 2022
Detecting hidden confounding in observational data using multiple environments R. Karlsson Jesse H. Krijthe CML OOD 44 12 0 27 May 2022
Causal Machine Learning for Healthcare and Precision Medicine Pedro Sanchez J. Voisey Tian Xia Hannah I. Watson Alison Q. OÑeil Sotirios A. Tsaftaris OOD CML 52 110 0 23 May 2022
An Invariant Matching Property for Distribution Generalization under Intervened Response Kang Du Yu Xiang OOD 24 4 0 18 May 2022
Searching for subgroup-specific associations while controlling the false discovery rate M. Sesia Tianshu Sun 33 0 0 17 May 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations Polina Kirichenko Pavel Izmailov A. Wilson OOD 58 321 0 06 Apr 2022
Do learned representations respect causal relationships? Lan Wang Vishnu Boddeti NAI CML OOD 44 6 0 02 Apr 2022