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1203.6502
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Quantifying causal influences
29 March 2012
Dominik Janzing
David Balduzzi
Moritz Grosse-Wentrup
Bernhard Schölkopf
CML
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Papers citing
"Quantifying causal influences"
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One-Shot Multi-Label Causal Discovery in High-Dimensional Event Sequences
Hugo Math
Robin Schon
Rainer Lienhart
BDL
CML
AI4TS
319
3
0
27 Sep 2025
Towards Practical Multi-label Causal Discovery in High-Dimensional Event Sequences via One-Shot Graph Aggregation
Hugo Math
Rainer Lienhart
AI4TS
308
3
0
23 Sep 2025
The Third Pillar of Causal Analysis? A Measurement Perspective on Causal Representations
Dingling Yao
Shimeng Huang
Riccardo Cadei
Kun Zhang
Francesco Locatello
CML
636
3
0
23 May 2025
Meta-Dependence in Conditional Independence Testing
Bijan Mazaheri
Jiaqi Zhang
Caroline Uhler
CML
256
2
0
17 Apr 2025
Towards Causal Model-Based Policy Optimization
Alberto Caron
V. Mavroudis
Chris Hicks
309
0
0
12 Mar 2025
Decomposing Interventional Causality into Synergistic, Redundant, and Unique Components
Abel Jansma
CML
360
4
0
20 Jan 2025
CausalScore: An Automatic Reference-Free Metric for Assessing Response Relevance in Open-Domain Dialogue Systems
Tao Feng
Zhuang Li
Xiaoxi Kang
Gholamreza Haffari
271
4
0
25 Jun 2024
Implicit Personalization in Language Models: A Systematic Study
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Zhijing Jin
Nils Heil
Jiarui Liu
Shehzaad Dhuliawala
Yahang Qi
Bernhard Schölkopf
Amélie Reymond
Mrinmaya Sachan
361
19
0
23 May 2024
Partial information decomposition: redundancy as information bottleneck
Entropy (Entropy), 2024
Artemy Kolchinsky
403
3
0
13 May 2024
Probabilistic Easy Variational Causal Effect
U. Faghihi
A. Saki
CML
131
1
0
12 Mar 2024
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes
Georg Manten
Cecilia Casolo
E. Ferrucci
Søren Wengel Mogensen
C. Salvi
Niki Kilbertus
CML
BDL
780
18
0
28 Feb 2024
Fundamental Properties of Causal Entropy and Information Gain
F. N. F. Q. Simoes
Mehdi Dastani
T. V. Ommen
CML
321
7
0
02 Feb 2024
Dagma-DCE: Interpretable, Non-Parametric Differentiable Causal Discovery
Daniel Waxman
Kurt Butler
Petar M. Djurić
407
6
0
05 Jan 2024
Modeling Systemic Risk: A Time-Varying Nonparametric Causal Inference Framework
Jalal Etesami
Ali Habibnia
Negar Kiyavash
159
2
0
27 Dec 2023
ShuttleSHAP: A Turn-Based Feature Attribution Approach for Analyzing Forecasting Models in Badminton
Wei-Yao Wang
Wenjie Peng
Wei Wang
Philip S. Yu
189
1
0
18 Dec 2023
Causal Entropy and Information Gain for Measuring Causal Control
F. N. F. Q. Simoes
Mehdi Dastani
T. V. Ommen
CML
237
8
0
14 Sep 2023
The most likely common cause
International Journal of Approximate Reasoning (IJAR), 2023
A. Hovhannisyan
A. Allahverdyan
CML
146
2
0
30 Jun 2023
Approximate Causal Effect Identification under Weak Confounding
International Conference on Machine Learning (ICML), 2023
Ziwei Jiang
Lai Wei
Murat Kocaoglu
CML
202
3
0
22 Jun 2023
Nonparametric Identifiability of Causal Representations from Unknown Interventions
Neural Information Processing Systems (NeurIPS), 2023
Julius von Kügelgen
M. Besserve
Wendong Liang
Luigi Gresele
Armin Kekić
Elias Bareinboim
David M. Blei
Bernhard Schölkopf
CML
567
93
0
01 Jun 2023
Bounding probabilities of causation through the causal marginal problem
Numair Sani
Atalanti A. Mastakouri
Dominik Janzing
CML
491
5
0
04 Apr 2023
Enhancing Causal Discovery from Robot Sensor Data in Dynamic Scenarios
CLEaR (CLEaR), 2023
Luca Castri
Sariah Mghames
Marc Hanheide
Nicola Bellotto
CML
240
20
0
20 Feb 2023
On Learning Necessary and Sufficient Causal Graphs
Neural Information Processing Systems (NeurIPS), 2023
Hengrui Cai
Yixin Wang
Michael Jordan
Rui Song
CML
271
18
0
29 Jan 2023
A Layered Architecture for Universal Causality
Sridhar Mahadevan
AI4CE
252
0
0
18 Dec 2022
Grasping Causality for the Explanation of Criticality for Automated Driving
IEEE Access (IEEE Access), 2022
Tjark Koopmann
Christian Neurohr
Lina Putze
Lukas Westhofen
Roman Gansch
Ahmad Adee
321
6
0
27 Oct 2022
Information Theoretic Measures of Causal Influences during Transient Neural Events
Frontiers in Network Physiology (FNP), 2022
K. Shao
N. Logothetis
M. Besserve
CML
234
6
0
15 Sep 2022
Unifying Causal Inference and Reinforcement Learning using Higher-Order Category Theory
Sridhar Mahadevan
231
5
0
13 Sep 2022
Abstraction between Structural Causal Models: A Review of Definitions and Properties
Fabio Massimo Zennaro
190
12
0
18 Jul 2022
On The Universality of Diagrams for Causal Inference and The Causal Reproducing Property
Sridhar Mahadevan
295
5
0
06 Jul 2022
DoWhy-GCM: An extension of DoWhy for causal inference in graphical causal models
Journal of machine learning research (JMLR), 2022
Patrick Blobaum
P. Götz
Kailash Budhathoki
Atalanti A. Mastakouri
Dominik Janzing
252
84
0
14 Jun 2022
Bayesian Information Criterion for Event-based Multi-trial Ensemble data
K. Shao
N. Logothetis
M. Besserve
225
2
0
29 Apr 2022
Lead-lag detection and network clustering for multivariate time series with an application to the US equity market
Machine-mediated learning (ML), 2022
Stefanos Bennett
Mihai Cucuringu
Gesine Reinert
AI4TS
354
35
0
20 Jan 2022
Causal inference with imperfect instrumental variables
Journal of Causal Inference (JCI), 2021
N. Miklin
M. Gachechiladze
George Moreno
Rafael Chaves
251
7
0
04 Nov 2021
You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction
International Conference on Learning Representations (ICLR), 2021
Osama Makansi
Julius von Kügelgen
Francesco Locatello
Peter V. Gehler
Dominik Janzing
Thomas Brox
Bernhard Schölkopf
FAtt
209
35
0
11 Oct 2021
Asymptotic Causal Inference
Sridhar Mahadevan
CML
226
2
0
20 Sep 2021
Entropic Inequality Constraints from
e
e
e
-separation Relations in Directed Acyclic Graphs with Hidden Variables
Conference on Uncertainty in Artificial Intelligence (UAI), 2021
N. Finkelstein
Beata Zjawin
Elie Wolfe
I. Shpitser
Robert W. Spekkens
CML
312
4
0
15 Jul 2021
Causal Influence Detection for Improving Efficiency in Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2021
Maximilian Seitzer
Bernhard Schölkopf
Georg Martius
CML
374
107
0
07 Jun 2021
Instance-wise Causal Feature Selection for Model Interpretation
Pranoy Panda
Sai Srinivas Kancheti
V. Balasubramanian
CML
421
20
0
26 Apr 2021
Why did the distribution change?
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Kailash Budhathoki
Dominik Janzing
Patrick Bloebaum
Hoiyi Ng
334
57
0
26 Feb 2021
Accurate and Robust Feature Importance Estimation under Distribution Shifts
Jayaraman J. Thiagarajan
V. Narayanaswamy
Rushil Anirudh
P. Bremer
A. Spanias
OOD
250
12
0
30 Sep 2020
Information-Theoretic Approximation to Causal Models
Peter Gmeiner
185
0
0
29 Jul 2020
Quantifying intrinsic causal contributions via structure preserving interventions
Dominik Janzing
Patrick Blobaum
Atalanti A. Mastakouri
P. M. Faller
Lenon Minorics
Kailash Budhathoki
CML
444
18
0
01 Jul 2020
Generative causal explanations of black-box classifiers
Neural Information Processing Systems (NeurIPS), 2020
Matthew R. O’Shaughnessy
Gregory H. Canal
Marissa Connor
Mark A. Davenport
Christopher Rozell
CML
429
81
0
24 Jun 2020
Intelligence, physics and information -- the tradeoff between accuracy and simplicity in machine learning
Tailin Wu
475
2
0
11 Jan 2020
Discovering Nonlinear Relations with Minimum Predictive Information Regularization
Tailin Wu
Thomas Breuel
M. Skuhersky
Jan Kautz
AI4TS
215
31
0
07 Jan 2020
CXPlain: Causal Explanations for Model Interpretation under Uncertainty
Neural Information Processing Systems (NeurIPS), 2019
Patrick Schwab
W. Karlen
FAtt
CML
512
235
0
27 Oct 2019
Quantum Inflation: A General Approach to Quantum Causal Compatibility
Physical Review X (PRX), 2019
Elie Wolfe
Alejandro Pozas-Kerstjens
Matan Grinberg
D. Rosset
A. Acín
M. Navascués
AI4CE
372
71
0
23 Sep 2019
The Hellinger Correlation
G. Geenens
P. Lafaye De Micheaux
342
39
0
24 Oct 2018
Causal inference in degenerate systems: An impossibility result
Yue Wang
Linbo Wang
CML
193
0
0
13 Nov 2017
Potential Conditional Mutual Information: Estimators, Properties and Applications
Arman Rahimzamani
Sreeram Kannan
283
11
0
13 Oct 2017
What caused what? A quantitative account of actual causation using dynamical causal networks
Larissa Albantakis
William Marshall
Erik P. Hoel
G. Tononi
CML
312
11
0
22 Aug 2017
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