Directed Cyclic Graphical Representations of Feedback Models

20 February 2013

Papers citing "Directed Cyclic Graphical Representations of Feedback Models"

49 / 49 papers shown

Title
LLMs Think, But Not In Your Flow: Reasoning-Level Personalization for Black-Box Large Language Models Jieyong Kim Tongyoung Kim Soojin Yoon Jaehyung Kim Dongha Lee LRM 68 0 0 27 May 2025
Robust Causal Analysis of Linear Cyclic Systems With Hidden Confounders Boris Lorbeer Axel Küpper 130 0 0 18 Nov 2024
A matrix algebra for graphical statistical models Qingyuan Zhao 68 1 0 22 Jul 2024
Spatio-Temporal Graphical Counterfactuals: An Overview Mingyu Kang Duxin Chen Ziyuan Pu Jianxi Gao Wenwu Yu CML 107 1 0 02 Jul 2024
Interventional Causal Discovery in a Mixture of DAGs Burak Varıcı Dmitriy A. Katz-Rogozhnikov Dennis L. Wei P. Sattigeri A. Tajer CML 86 1 0 12 Jun 2024
Local Causal Discovery with Linear non-Gaussian Cyclic Models Haoyue Dai Ignavier Ng Yujia Zheng Zhengqing Gao Kun Zhang 57 3 0 21 Mar 2024
DIGIC: Domain Generalizable Imitation Learning by Causal Discovery Yang Chen Yitao Liang Zhouchen Lin OOD CML 49 0 0 29 Feb 2024
Procedural Fairness Through Decoupling Objectionable Data Generating Components Zeyu Tang Jialu Wang Yang Liu Peter Spirtes Kun Zhang 50 2 0 05 Nov 2023
Establishing Markov Equivalence in Cyclic Directed Graphs Tom Claassen Joris M. Mooij 50 2 0 01 Sep 2023
Causal Discovery from Time Series with Hybrids of Constraint-Based and Noise-Based Algorithms D. Bystrova Charles K. Assaad Julyan Arbel Emilie Devijver Éric Gaussier W. Thuiller AI4TS CML 128 6 0 14 Jun 2023
A Survey on Causal Discovery: Theory and Practice Alessio Zanga Fabio Stella CML 77 45 0 17 May 2023
Markov Conditions and Factorization in Logical Credal Networks Fabio Gagliardi Cozman 40 0 0 27 Feb 2023
On the Foundations of Cycles in Bayesian Networks C. Baier Clemens Dubslaff Holger Hermanns Nikolai Käfer 45 3 0 20 Jan 2023
Learning Relational Causal Models with Cycles through Relational Acyclification Ragib Ahsan David Arbour Elena Zheleva 111 2 0 25 Aug 2022
What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective Zeyu Tang Jiji Zhang Kun Zhang FaML 94 29 0 08 Jun 2022
Relational Causal Models with Cycles:Representation and Reasoning Ragib Ahsan David Arbour Elena Zheleva LRM 49 4 0 22 Feb 2022
Dynamic Causal Bayesian Optimization Virginia Aglietti Neil Dhir Javier I. González Theodoros Damoulas 71 22 0 26 Oct 2021
Causality and independence in perfectly adapted dynamical systems Tineke Blom Joris M. Mooij CML 105 8 0 28 Jan 2021
Learning DAGs without imposing acyclicity Gherardo Varando CML 66 12 0 04 Jun 2020
Graphical modeling of stochastic processes driven by correlated errors Søren Wengel Mogensen N. Hansen 74 19 0 15 May 2020
Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles Joris M. Mooij Tom Claassen 93 42 0 01 May 2020
Characterizing Distribution Equivalence and Structure Learning for Cyclic and Acyclic Directed Graphs AmirEmad Ghassami Alan Yang Negar Kiyavash Kun Zhang 81 2 0 28 Oct 2019
Ancestral causal learning in high dimensions with a human genome-wide application Umberto Noè B. Taschler J. Täger P. Heutink S. Mukherjee CML 18 1 0 27 May 2019
Identifiability of Gaussian Structural Equation Models with Homogeneous and Heterogeneous Error Variances G. Park Younghwan Kim CML 42 14 0 29 Jan 2019
Causal Discovery with a Mixture of DAGs Eric V. Strobl CML 73 17 0 28 Jan 2019
$High-Dimensional Poisson DAG Model Learning Using $\ell_1$-Regularized Regression$ High-Dimensional Poisson DAG Model Learning Using $\ell_1$ -Regularized Regression G. Park Sion Park 74 18 0 05 Oct 2018
Constraint-based Causal Discovery for Non-Linear Structural Causal Models with Cycles and Latent Confounders Patrick Forré Joris M. Mooij CML 92 56 0 09 Jul 2018
A Constraint-Based Algorithm For Causal Discovery with Cycles, Latent Variables and Selection Bias Eric V. Strobl CML 84 30 0 05 May 2018
Structural causal models for macro-variables in time-series Dominik Janzing Paul Kishan Rubenstein Bernhard Schölkopf CML 65 6 0 11 Apr 2018
Foundations of Structural Causal Models with Cycles and Latent Variables Stephan Bongers Patrick Forré J. Peters Joris M. Mooij 95 167 0 18 Nov 2016
Computation of maximum likelihood estimates in cyclic structural equation models Mathias Drton C. Fox Y Samuel Wang 121 16 0 11 Oct 2016
From Deterministic ODEs to Dynamic Structural Causal Models Paul Kishan Rubenstein Stephan Bongers Bernhard Schölkopf Joris M. Mooij 96 55 0 29 Aug 2016
Identifiability Assumptions and Algorithm for Directed Graphical Models with Feedback G. Park Garvesh Raskutti CML 34 6 0 14 Feb 2016
Markov Boundary Discovery with Ridge Regularized Linear Models Eric V. Strobl Shyam Visweswaran 69 7 0 14 Sep 2015
Inferring large graphs using l1-penalized likelihood Magali Champion Victor Picheny Matthieu Vignes 100 21 0 08 Jul 2015
From Ordinary Differential Equations to Structural Causal Models: the deterministic case Joris Mooij Dominik Janzing Bernhard Schölkopf 126 105 0 09 Aug 2014
CAM: Causal additive models, high-dimensional order search and penalized regression Peter Buhlmann J. Peters J. Ernest CML 160 326 0 06 Oct 2013
Discovering Cyclic Causal Models with Latent Variables: A General SAT-Based Procedure Antti Hyttinen P. Hoyer F. Eberhardt Matti Järvisalo CML 116 90 0 26 Sep 2013
Calculation of Entailed Rank Constraints in Partially Non-Linear and Cyclic Models Peter Spirtes 93 29 0 17 Sep 2013
Reasoning about Independence in Probabilistic Models of Relational Data Marc E. Maier Katerina Marazopoulou David D. Jensen 81 34 0 18 Feb 2013
A Polynomial-Time Algorithm for Deciding Markov Equivalence of Directed Cyclic Graphical Models Thomas S. Richardson 126 45 0 13 Feb 2013
A Discovery Algorithm for Directed Cyclic Graphs Thomas S. Richardson CML 140 195 0 13 Feb 2013
An Alternative Markov Property for Chain Graphs S. A. Andersson D. Madigan M. Perlman 76 70 0 13 Feb 2013
Asymmetric separation for local independence graphs Vanessa Didelez 99 20 0 27 Jun 2012
Evaluation of the Causal Effect of Control Plans in Nonrecursive Structural Equation Models Manabu Kuroki Zhihong Cai CML 83 4 0 20 Jun 2012
Discovering Cyclic Causal Models by Independent Components Analysis Gustavo Lacerda Peter Spirtes Joseph Ramsey P. Hoyer CML 147 188 0 13 Jun 2012
Modeling Discrete Interventional Data using Directed Cyclic Graphical Models Mark Schmidt Kevin P. Murphy 173 40 0 09 May 2012
On Deducing Conditional Independence from d-Separation in Causal Graphs with Feedback (Research Note) Radford M. Neal CML 104 52 0 01 Jun 2011
Graphical models for marked point processes based on local independence Vanessa Didelez 138 165 0 31 Oct 2007