Causal inference using invariant prediction: identification and confidence intervals

6 January 2015

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

44 / 44 papers shown

Title
Unsupervised Invariant Risk Minimization Yotam Norman Ron Meir OOD 49 0 0 18 May 2025
Partial Transportability for Domain Generalization Kasra Jalaldoust Alexis Bellot Elias Bareinboim OOD 97 5 0 30 Mar 2025
Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions Juan L. Gamella Armeen Taeb C. Heinze-Deml Peter Buhlmann CML 111 8 0 13 Mar 2025
DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution Generalization Jiaqi Wang Yuhang Zhou Zhixiong Zhang Qiguang Chen Yongqiang Chen James Cheng OODD 117 1 0 18 Feb 2025
Achievable distributional robustness when the robust risk is only partially identified Julia Kostin Nicola Gnecco Fanny Yang 110 3 0 04 Feb 2025
Subgraph Aggregation for Out-of-Distribution Generalization on Graphs Bowen Liu Haoyang Li Shuning Wang Shuo Nie Shanghang Zhang OODD CML 119 0 0 29 Oct 2024
Systems with Switching Causal Relations: A Meta-Causal Perspective Moritz Willig Tim Nelson Tobiasch Florian Peter Busch Jonas Seng Devendra Singh Dhami Kristian Kersting CML 81 0 0 16 Oct 2024
Rethinking Fair Representation Learning for Performance-Sensitive Tasks Charles Jones Fabio De Sousa Ribeiro Mélanie Roschewitz Daniel Coelho De Castro Ben Glocker FaML OOD CML 193 2 0 05 Oct 2024
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments Gaojie Jin Ronghui Mu Xinping Yi Xiaowei Huang Lijun Zhang 95 0 0 01 Jul 2024
Targeted Sequential Indirect Experiment Design Elisabeth Ailer Niclas Dern Jason S. Hartford Niki Kilbertus 61 2 0 30 May 2024
Learning Invariant Causal Mechanism from Vision-Language Models Changwen Zheng Siyu Zhao Xingyu Zhang Jiangmeng Li Changwen Zheng Jingyao Wang CML BDL VLM 68 0 0 24 May 2024
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning Yihong Gu Cong Fang Peter Bühlmann Jianqing Fan OOD CML 188 2 0 07 May 2024
Invariant Subspace Decomposition Margherita Lazzaretto Jonas Peters Niklas Pfister 52 0 0 15 Apr 2024
Structural restrictions in local causal discovery: identifying direct causes of a target variable Juraj Bodik V. Chavez-Demoulin CML 52 1 0 29 Jul 2023
Causality-oriented robustness: exploiting general noise interventions Xinwei Shen Peter Buhlmann Armeen Taeb OOD 92 8 0 18 Jul 2023
Invariant Causal Set Covering Machines Thibaud Godon Baptiste Bauvin Pascal Germain J. Corbeil Alexandre Drouin CML 39 0 0 07 Jun 2023
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 79 140 0 12 Mar 2020
Extended Conditional Independence and Applications in Causal Inference Panayiota Constantinou A. Dawid CML 15 44 0 01 Dec 2015
Principal causal effect identification and surrogate endpoint evaluation by multiple trials Zhichao Jiang Peng Ding Z. Geng CML 28 29 0 21 Jul 2015
backShift: Learning causal cyclic graphs from unknown shift interventions Dominik Rothenhäusler C. Heinze J. Peters N. Meinshausen OOD 51 72 0 08 Jun 2015
A direct method for estimating a causal ordering in a linear non-Gaussian acyclic model Shohei Shimizu Aapo Hyvarinen Yoshinobu Kawahara 47 29 0 09 Aug 2014
"Building" exact confidence nets Andrew R. Francis M. Stehlík H. Wynn 28 4 0 31 Jul 2014
Statistical Causality from a Decision-Theoretic Perspective A. Philip Dawid CML 48 72 0 09 May 2014
CAM: Causal additive models, high-dimensional order search and penalized regression Peter Buhlmann J. Peters J. Ernest CML 88 323 0 06 Oct 2013
Causal Discovery with Continuous Additive Noise Models Jonas Peters Joris Mooij Dominik Janzing Bernhard Schölkopf CML 84 563 0 26 Sep 2013
Causal interpretation of stochastic differential equations Alexander Sokol N. Hansen CML 96 50 0 31 Mar 2013
Jointly interventional and observational data: estimation of interventional Markov equivalence classes of directed acyclic graphs Alain Hauser Peter Buhlmann CML 47 95 0 13 Mar 2013
On asymptotically optimal confidence regions and tests for high-dimensional models Sara van de Geer Peter Buhlmann Yaácov Ritov Ruben Dezeure 152 1,130 0 03 Mar 2013
A Discovery Algorithm for Directed Cyclic Graphs Thomas S. Richardson CML 108 192 0 13 Feb 2013
An Algorithm for Finding Minimum d-Separating Sets in Belief Networks Silvia Acid L. M. D. Campos CML 34 73 0 13 Feb 2013
Causal Discovery from Changes Jin Tian Judea Pearl CML 76 165 0 10 Jan 2013
Counterfactual Reasoning and Learning Systems Léon Bottou J. Peters J. Q. Candela Denis Xavier Charles D. M. Chickering Elon Portugaly Dipankar Ray Patrice Y. Simard Edward Snelson CML OffRL 178 781 0 11 Sep 2012
Parameter and Structure Learning in Nested Markov Models I. Shpitser Thomas S. Richardson J. M. Robins R. Evans CML 60 22 0 20 Jul 2012
Testing equality of functions under monotonicity constraints C. Durot P. Groeneboom H. P. Lopuhaa 45 22 0 09 Jul 2012
On Causal and Anticausal Learning Bernhard Schölkopf Dominik Janzing J. Peters Eleni Sgouritsa Kun Zhang Joris Mooij CML 74 604 0 27 Jun 2012
A Characterization of Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables Jiji Zhang 81 17 0 20 Jun 2012
Identifiability of Gaussian structural equation models with equal error variances J. Peters Peter Buhlmann CML 161 336 0 11 May 2012
Counterfactual analyses with graphical models based on local independence K. Røysland CML 66 29 0 06 Jun 2011
Learning high-dimensional directed acyclic graphs with latent and selection variables Diego Colombo Marloes H. Maathuis M. Kalisch Thomas S. Richardson CML 94 465 0 29 Apr 2011
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs Alain Hauser Peter Buhlmann CML 63 425 0 14 Apr 2011
DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model Shohei Shimizu Takanori Inazumi Yasuhiro Sogawa Aapo Hyvarinen Yoshinobu Kawahara Takashi Washio P. Hoyer K. Bollen CML 74 503 0 13 Jan 2011
Identifying the consequences of dynamic treatment strategies: A decision-theoretic overview A. Dawid Vanessa Didelez 118 108 0 17 Oct 2010
Square-Root Lasso: Pivotal Recovery of Sparse Signals via Conic Programming A. Belloni Victor Chernozhukov Lie Wang 109 672 0 28 Sep 2010
Identifiability of parameters in latent structure models with many observed variables E. Allman C. Matias J. Rhodes CML 118 532 0 29 Sep 2008