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The Do-Calculus Revisited

The Do-Calculus Revisited

16 October 2012
Judea Pearl
    CML
ArXiv (abs)PDFHTML

Papers citing "The Do-Calculus Revisited"

32 / 32 papers shown
Title
Causal Spatio-Temporal Prediction: An Effective and Efficient Multi-Modal Approach
Causal Spatio-Temporal Prediction: An Effective and Efficient Multi-Modal Approach
Yuting Huang
Ziquan Fang
Zhihao Zeng
Lu Chen
Yunjun Gao
197
0
0
23 May 2025
shapr: Explaining Machine Learning Models with Conditional Shapley Values in R and Python
shapr: Explaining Machine Learning Models with Conditional Shapley Values in R and Python
Martin Jullum
Lars Henry Berge Olsen
Jon Lachmann
Annabelle Redelmeier
TDIFAtt
180
3
0
02 Apr 2025
DeCaFlow: A Deconfounding Causal Generative Model
DeCaFlow: A Deconfounding Causal Generative Model
Alejandro Almodóvar
Adrián Javaloy
J. Parras
Santiago Zazo
Isabel Valera
CML
78
0
0
19 Mar 2025
Mind Your Theory: Theory of Mind Goes Deeper Than Reasoning
Mind Your Theory: Theory of Mind Goes Deeper Than Reasoning
Eitan Wagner
Nitay Alon
J. Barnby
Omri Abend
LRM
205
2
0
18 Dec 2024
Iterative Causal Segmentation: Filling the Gap between Market
  Segmentation and Marketing Strategy
Iterative Causal Segmentation: Filling the Gap between Market Segmentation and Marketing Strategy
Kaihua Ding
Jingsong Cui
Mohammad Soltani
Jing Jin
CMLOOD
52
0
0
23 May 2024
Assessing the overall and partial causal well-specification of nonlinear
  additive noise models
Assessing the overall and partial causal well-specification of nonlinear additive noise models
Christoph Schultheiss
Peter Bühlmann
CML
112
1
0
25 Oct 2023
Causal discovery using dynamically requested knowledge
Causal discovery using dynamically requested knowledge
N. K. Kitson
Anthony C. Constantinou
CML
52
1
0
17 Oct 2023
Causal-DFQ: Causality Guided Data-free Network Quantization
Causal-DFQ: Causality Guided Data-free Network Quantization
Yuzhang Shang
Bingxin Xu
Gaowen Liu
Ramana Rao Kompella
Yan Yan
MQCML
92
8
0
24 Sep 2023
Towards Debiasing Frame Length Bias in Text-Video Retrieval via Causal
  Intervention
Towards Debiasing Frame Length Bias in Text-Video Retrieval via Causal Intervention
Burak Satar
Huaiyu Zhu
Hanwang Zhang
Joo-Hwee Lim
CML
92
0
0
17 Sep 2023
Causal Analysis for Robust Interpretability of Neural Networks
Causal Analysis for Robust Interpretability of Neural Networks
Ola Ahmad
Nicolas Béreux
Loïc Baret
V. Hashemi
Freddy Lecue
CML
98
4
0
15 May 2023
Causalvis: Visualizations for Causal Inference
Causalvis: Visualizations for Causal Inference
G. Guo
Ehud Karavani
Alex Endert
Bum Chul Kwon
CML
67
14
0
01 Mar 2023
Manifold Restricted Interventional Shapley Values
Manifold Restricted Interventional Shapley Values
Muhammad Faaiz Taufiq
Patrick Blobaum
Lenon Minorics
FAtt
141
8
0
10 Jan 2023
Observational and Interventional Causal Learning for Regret-Minimizing
  Control
Observational and Interventional Causal Learning for Regret-Minimizing Control
Christian Reiser
CML
29
0
0
05 Dec 2022
Causal Deep Reinforcement Learning Using Observational Data
Causal Deep Reinforcement Learning Using Observational Data
Wenxuan Zhu
Chao Yu
Qiaosheng Zhang
CMLOffRL
73
5
0
28 Nov 2022
Applications of statistical causal inference in software engineering
Applications of statistical causal inference in software engineering
Julien Siebert
CML
118
35
0
21 Nov 2022
Combinatorial Causal Bandits
Combinatorial Causal Bandits
Shi Feng
Wei Chen
CML
92
13
0
04 Jun 2022
Experimental Design for Causal Effect Identification
Experimental Design for Causal Effect Identification
S. Akbari
Jalal Etesami
Negar Kiyavash
CML
64
1
0
04 May 2022
Socioeconomic disparities and COVID-19: the causal connections
Socioeconomic disparities and COVID-19: the causal connections
Tannista Banerjee
Ayan Paul
Vishak Srikanth
Inga Strümke
28
2
0
18 Jan 2022
Causal versus Marginal Shapley Values for Robotic Lever Manipulation
  Controlled using Deep Reinforcement Learning
Causal versus Marginal Shapley Values for Robotic Lever Manipulation Controlled using Deep Reinforcement Learning
Sindre Benjamin Remman
Inga Strümke
A. Lekkas
CML
48
7
0
04 Nov 2021
DoWhy: Addressing Challenges in Expressing and Validating Causal
  Assumptions
DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions
Amit Sharma
Vasilis Syrgkanis
Cheng Zhang
Emre Kıcıman
78
26
0
27 Aug 2021
Causal Reinforcement Learning using Observational and Interventional
  Data
Causal Reinforcement Learning using Observational and Interventional Data
Maxime Gasse
Damien Grasset
Guillaume Gaudron
Pierre-Yves Oudeyer
CMLOffRL
85
52
0
28 Jun 2021
Unsuitability of NOTEARS for Causal Graph Discovery
Unsuitability of NOTEARS for Causal Graph Discovery
Marcus Kaiser
Maksim Sipos
CML
111
66
0
12 Apr 2021
Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual
  Predictions of Complex Models
Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models
Tom Heskes
E. Sijben
I. G. Bucur
Tom Claassen
FAttTDI
118
155
0
03 Nov 2020
Estimating Causal Effects with the Neural Autoregressive Density
  Estimator
Estimating Causal Effects with the Neural Autoregressive Density Estimator
Sergio Garrido
S. Borysov
Jeppe Rich
Francisco Câmara Pereira
CML
64
7
0
17 Aug 2020
Computational Causal Inference
Computational Causal Inference
Jeffrey Wong
CMLAI4CE
44
11
0
21 Jul 2020
70 years of machine learning in geoscience in review
70 years of machine learning in geoscience in review
Jesper Sören Dramsch
VLMAI4CE
107
162
0
16 Jun 2020
Causality from the Point of View of Statistics
Causality from the Point of View of Statistics
J. A. Ferreira
CML
60
2
0
20 Aug 2019
Neural Network Attributions: A Causal Perspective
Neural Network Attributions: A Causal Perspective
Aditya Chattopadhyay
Piyushi Manupriya
Anirban Sarkar
V. Balasubramanian
CML
102
146
0
06 Feb 2019
Parameter identifiability of discrete Bayesian networks with hidden
  variables
Parameter identifiability of discrete Bayesian networks with hidden variables
E. Allman
J. Rhodes
E. Stanghellini
Marco Valtorta
174
13
0
02 Jun 2014
Causal Transportability of Experiments on Controllable Subsets of
  Variables: z-Transportability
Causal Transportability of Experiments on Controllable Subsets of Variables: z-Transportability
Sanghack Lee
Vasant Honavar
34
10
0
26 Sep 2013
Introduction to Judea Pearl's Do-Calculus
Introduction to Judea Pearl's Do-Calculus
Robert R. Tucci
85
21
0
26 Apr 2013
Counterfactual Reasoning and Learning Systems
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
CMLOffRL
417
787
0
11 Sep 2012
1