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Directed Cyclic Graphical Representations of Feedback Models

Directed Cyclic Graphical Representations of Feedback Models

20 February 2013
Peter Spirtes
    CML
ArXiv (abs)PDFHTML

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
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
75
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
A matrix algebra for graphical statistical models
Qingyuan Zhao
68
1
0
22 Jul 2024
Spatio-Temporal Graphical Counterfactuals: An Overview
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
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
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
DIGIC: Domain Generalizable Imitation Learning by Causal Discovery
Yang Chen
Yitao Liang
Zhouchen Lin
OODCML
49
0
0
29 Feb 2024
Procedural Fairness Through Decoupling Objectionable Data Generating
  Components
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
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
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
AI4TSCML
128
6
0
14 Jun 2023
A Survey on Causal Discovery: Theory and Practice
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
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
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
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
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
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
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
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
Learning DAGs without imposing acyclicity
Gherardo Varando
CML
66
12
0
04 Jun 2020
Graphical modeling of stochastic processes driven by correlated errors
Graphical modeling of stochastic processes driven by correlated errors
Søren Wengel Mogensen
N. Hansen
78
19
0
15 May 2020
Constraint-Based Causal Discovery using Partial Ancestral Graphs in the
  presence of Cycles
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
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
Ancestral causal learning in high dimensions with a human genome-wide application
Umberto Noè
B. Taschler
J. Täger
P. Heutink
S. Mukherjee
CML
20
1
0
27 May 2019
Identifiability of Gaussian Structural Equation Models with Homogeneous
  and Heterogeneous Error Variances
Identifiability of Gaussian Structural Equation Models with Homogeneous and Heterogeneous Error Variances
G. Park
Younghwan Kim
CML
46
14
0
29 Jan 2019
Causal Discovery with a Mixture of DAGs
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 ℓ1\ell_1ℓ1​-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
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
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
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
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
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
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
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
Markov Boundary Discovery with Ridge Regularized Linear Models
Eric V. Strobl
Shyam Visweswaran
73
7
0
14 Sep 2015
Inferring large graphs using l1-penalized likelihood
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
From Ordinary Differential Equations to Structural Causal Models: the deterministic case
Joris Mooij
Dominik Janzing
Bernhard Schölkopf
128
105
0
09 Aug 2014
CAM: Causal additive models, high-dimensional order search and penalized
  regression
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
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
Calculation of Entailed Rank Constraints in Partially Non-Linear and Cyclic Models
Peter Spirtes
95
29
0
17 Sep 2013
Reasoning about Independence in Probabilistic Models of Relational Data
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
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
A Discovery Algorithm for Directed Cyclic Graphs
Thomas S. Richardson
CML
140
195
0
13 Feb 2013
An Alternative Markov Property for Chain Graphs
An Alternative Markov Property for Chain Graphs
S. A. Andersson
D. Madigan
M. Perlman
80
70
0
13 Feb 2013
Asymmetric separation for local independence graphs
Asymmetric separation for local independence graphs
Vanessa Didelez
103
20
0
27 Jun 2012
Evaluation of the Causal Effect of Control Plans in Nonrecursive
  Structural Equation Models
Evaluation of the Causal Effect of Control Plans in Nonrecursive Structural Equation Models
Manabu Kuroki
Zhihong Cai
CML
85
4
0
20 Jun 2012
Discovering Cyclic Causal Models by Independent Components Analysis
Discovering Cyclic Causal Models by Independent Components Analysis
Gustavo Lacerda
Peter Spirtes
Joseph Ramsey
P. Hoyer
CML
153
188
0
13 Jun 2012
Modeling Discrete Interventional Data using Directed Cyclic Graphical
  Models
Modeling Discrete Interventional Data using Directed Cyclic Graphical Models
Mark Schmidt
Kevin P. Murphy
179
40
0
09 May 2012
On Deducing Conditional Independence from d-Separation in Causal Graphs
  with Feedback (Research Note)
On Deducing Conditional Independence from d-Separation in Causal Graphs with Feedback (Research Note)
Radford M. Neal
CML
108
52
0
01 Jun 2011
Graphical models for marked point processes based on local independence
Graphical models for marked point processes based on local independence
Vanessa Didelez
138
165
0
31 Oct 2007
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