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Causal inference using invariant prediction: identification and confidence intervals

6 January 2015

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

50 / 493 papers shown

Title
Distributionally Robust Losses for Latent Covariate Mixtures John C. Duchi Tatsunori Hashimoto Hongseok Namkoong 72 81 0 28 Jul 2020
Accounting for Unobserved Confounding in Domain Generalization Alexis Bellot M. Schaar CML OOD 91 23 0 21 Jul 2020
Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective Ruixiang Zhang Masanori Koyama Katsuhiko Ishiguro CML 31 6 0 21 Jul 2020
Robustness to Spurious Correlations via Human Annotations Megha Srivastava Tatsunori Hashimoto Percy Liang CML OOD 55 90 0 13 Jul 2020
Causal Feature Selection via Orthogonal Search Ashkan Soleymani Anant Raj Stefan Bauer Bernhard Schölkopf M. Besserve CML 79 17 0 06 Jul 2020
Differentiable Causal Discovery from Interventional Data P. Brouillard Sébastien Lachapelle Alexandre Lacoste Simon Lacoste-Julien Alexandre Drouin CML 78 191 0 03 Jul 2020
In Search of Lost Domain Generalization Ishaan Gulrajani David Lopez-Paz OOD 108 1,159 0 02 Jul 2020
Causal Discovery in Physical Systems from Videos Yunzhu Li Antonio Torralba Anima Anandkumar Dieter Fox Animesh Garg CML 124 104 0 01 Jul 2020
Causality Learning: A New Perspective for Interpretable Machine Learning Guandong Xu Tri Dung Duong Q. Li S. Liu Xianzhi Wang XAI OOD CML 55 52 0 27 Jun 2020
From Predictions to Decisions: Using Lookahead Regularization Nir Rosenfeld Sophie Hilgard S. Ravindranath David C. Parkes 44 21 0 20 Jun 2020
Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations Zhun Deng Frances Ding Cynthia Dwork Rachel Hong Giovanni Parmigiani Prasad Patil Pragya Sur OOD FaML 61 30 0 20 Jun 2020
Self-training Avoids Using Spurious Features Under Domain Shift Yining Chen Colin Wei Ananya Kumar Tengyu Ma OOD 90 85 0 17 Jun 2020
Risk Variance Penalization Chuanlong Xie Haotian Ye Fei Chen Yue Liu Rui Sun Zhenguo Li 172 33 0 13 Jun 2020
Domain Generalization using Causal Matching Divyat Mahajan Shruti Tople Amit Sharma OOD 94 337 0 12 Jun 2020
Conformal Inference of Counterfactuals and Individual Treatment Effects Lihua Lei Emmanuel J. Candès CML 174 195 0 11 Jun 2020
Active Invariant Causal Prediction: Experiment Selection through Stability Juan L. Gamella C. Heinze-Deml OOD 61 46 0 10 Jun 2020
Stable Prediction via Leveraging Seed Variable Kun Kuang Yangqiu Song Peng Cui Yue Liu Jianrong Tao Yueting Zhuang Leilei Gan OOD CML 38 5 0 09 Jun 2020
Balance-Subsampled Stable Prediction Kun Kuang Hengtao Zhang Leilei Gan Yueting Zhuang Aijun Zhang OOD 65 3 0 08 Jun 2020
Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement Learning Anoopkumar Sonar Vincent Pacelli Anirudha Majumdar 111 54 0 01 Jun 2020
Towards intervention-centric causal reasoning in learning agents B. Lansdell LRM CML 16 0 0 26 May 2020
An Analysis of the Adaptation Speed of Causal Models Rémi Le Priol Reza Babanezhad Harikandeh Yoshua Bengio Simon Lacoste-Julien CML 44 14 0 18 May 2020
Distributional robustness of K-class estimators and the PULSE M. E. Jakobsen J. Peters OOD 54 29 0 07 May 2020
Selecting Data Augmentation for Simulating Interventions Maximilian Ilse Jakub M. Tomczak Patrick Forré OOD CML 70 18 0 04 May 2020
Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles Joris M. Mooij Tom Claassen 66 42 0 01 May 2020
Representation Bayesian Risk Decompositions and Multi-Source Domain Adaptation Xi Wu Yang Guo Jiefeng Chen Yingyu Liang S. Jha P. Chalasani OOD UQCV 71 7 0 22 Apr 2020
Causal network learning with non-invertible functional relationships Bingling Wang Qing Zhou CML 34 7 0 20 Apr 2020
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision Damien Teney Ehsan Abbasnejad Anton Van Den Hengel OOD SSL CML 93 119 0 20 Apr 2020
CausalVAE: Structured Causal Disentanglement in Variational Autoencoder Mengyue Yang Furui Liu Zhitang Chen Xinwei Shen Jianye Hao Jun Wang OOD CoGe CML 151 45 0 18 Apr 2020
Shortcut Learning in Deep Neural Networks Robert Geirhos J. Jacobsen Claudio Michaelis R. Zemel Wieland Brendel Matthias Bethge Felix Wichmann 225 2,066 0 16 Apr 2020
An Empirical Study of Invariant Risk Minimization Yo Joong Choe Jiyeon Ham Kyubyong Park OOD 56 50 0 10 Apr 2020
Invariant Causal Prediction for Block MDPs Amy Zhang Clare Lyle Shagun Sodhani Angelos Filos Marta Z. Kwiatkowska Joelle Pineau Y. Gal Doina Precup OffRL AI4CE OOD 121 144 0 12 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 331 944 0 02 Mar 2020
Unshuffling Data for Improved Generalization Damien Teney Ehsan Abbasnejad Anton Van Den Hengel OOD 77 78 0 27 Feb 2020
I-SPEC: An End-to-End Framework for Learning Transportable, Shift-Stable Models Adarsh Subbaswamy Suchi Saria OOD 71 14 0 20 Feb 2020
Invariant Risk Minimization Games Kartik Ahuja Karthikeyan Shanmugam Kush R. Varshney Amit Dhurandhar OOD 94 252 0 11 Feb 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
On Constraint Definability in Tractable Probabilistic Models I. Papantonis Vaishak Belle TPM 33 1 0 29 Jan 2020
Improving Model Robustness Using Causal Knowledge T. Kyono M. Schaar OOD 60 12 0 27 Nov 2019
Causality for Machine Learning Bernhard Schölkopf CML AI4CE LRM 104 464 0 24 Nov 2019
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization Shiori Sagawa Pang Wei Koh Tatsunori B. Hashimoto Percy Liang OOD 110 1,250 0 20 Nov 2019
Causality-based Feature Selection: Methods and Evaluations Kui Yu Xianjie Guo Lin Liu Jiuyong Li Hao Wang Zhaolong Ling Xindong Wu CML 90 97 0 17 Nov 2019
Deep causal representation learning for unsupervised domain adaptation Raha Moraffah Kai Shu A. Raglin Huan Liu CML OOD 91 11 0 28 Oct 2019
Causal bootstrapping Max A. Little Reham Badawy CML 56 20 0 21 Oct 2019
Boosting Local Causal Discovery in High-Dimensional Expression Data Philip Versteeg Joris M. Mooij CML 32 5 0 06 Oct 2019
Learning Neural Causal Models from Unknown Interventions Nan Rosemary Ke O. Bilaniuk Anirudh Goyal Stefan Bauer Hugo Larochelle Bernhard Schölkopf Michael C. Mozer C. Pal Yoshua Bengio CML OOD 115 170 0 02 Oct 2019
Alleviating Privacy Attacks via Causal Learning Shruti Tople Amit Sharma A. Nori MIACV OOD 98 32 0 27 Sep 2019
Causal Discovery by Kernel Intrinsic Invariance Measure Zhitang Chen Shengyu Zhu Yue Liu Tim Tse CML 17 1 0 02 Sep 2019
Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables Saber Salehkaleybar AmirEmad Ghassami Negar Kiyavash Kun Zhang CML 38 44 0 11 Aug 2019
Info Intervention Heyang Gong Zhu Ke CML 23 0 0 24 Jul 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 223 2,247 0 05 Jul 2019