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Direct and Indirect Effects

Direct and Indirect Effects

Conference on Uncertainty in Artificial Intelligence (UAI), 2001
10 January 2013
Judea Pearl
    CML
ArXiv (abs)PDFHTML

Papers citing "Direct and Indirect Effects"

50 / 270 papers shown
Linear Causal Discovery with Interventional Constraints
Linear Causal Discovery with Interventional Constraints
Zhigao Guo
Feng Dong
CML
173
0
0
30 Oct 2025
Representation-Level Counterfactual Calibration for Debiased Zero-Shot Recognition
Representation-Level Counterfactual Calibration for Debiased Zero-Shot Recognition
Pei Peng
MingKun Xie
Hang Hao
Tong Jin
ShengJun Huang
BDLCML
351
0
0
30 Oct 2025
Learning density ratios in causal inference using Bregman-Riesz regression
Learning density ratios in causal inference using Bregman-Riesz regression
Oliver J. Hines
Caleb H. Miles
CML
195
3
0
17 Oct 2025
Beyond Pass@k: Breadth-Depth Metrics for Reasoning Boundaries
Beyond Pass@k: Breadth-Depth Metrics for Reasoning Boundaries
Marius Dragoi
Ioana Pintilie
Florin Gogianu
Florin Brad
OffRLLRM
456
4
0
09 Oct 2025
What Drives Compositional Generalization? The Importance of Continuous Training Objectives in Visual Generative Models
What Drives Compositional Generalization? The Importance of Continuous Training Objectives in Visual Generative Models
Karim Farid
Rajat Sahay
Yumna Ali Alnaggar
Simon Schrodi
Volker Fischer
Cordelia Schmid
Thomas Brox
OCLCoGe
361
1
0
03 Oct 2025
Mechanistic Interpretability as Statistical Estimation: A Variance Analysis
Mechanistic Interpretability as Statistical Estimation: A Variance Analysis
Maxime Méloux
François Portet
Maxime Peyrard
245
4
0
01 Oct 2025
Partial Identification Approach to Counterfactual Fairness Assessment
Partial Identification Approach to Counterfactual Fairness Assessment
Saeyoung Rho
Junzhe Zhang
Elias Bareinboim
FaML
308
0
0
30 Sep 2025
Towards Understanding Subliminal Learning: When and How Hidden Biases Transfer
Towards Understanding Subliminal Learning: When and How Hidden Biases Transfer
Simon Schrodi
Elias Kempf
Fazl Barez
Thomas Brox
FedML
186
6
0
28 Sep 2025
Causally-Enhanced Reinforcement Policy Optimization
Causally-Enhanced Reinforcement Policy Optimization
Xiangqi Wang
Yue Huang
Yujun Zhou
Xiaonan Luo
Kehan Guo
Xiangliang Zhang
OffRLLRM
237
1
0
27 Sep 2025
DISCO: Disentangled Communication Steering for Large Language Models
DISCO: Disentangled Communication Steering for Large Language Models
Max Torop
A. Masoomi
Masih Eskandar
Jennifer Dy
LLMSV
233
1
0
20 Sep 2025
Statistical Methods in Generative AI
Statistical Methods in Generative AI
Edgar Dobriban
353
4
0
08 Sep 2025
Crosscoding Through Time: Tracking Emergence & Consolidation Of Linguistic Representations Throughout LLM Pretraining
Crosscoding Through Time: Tracking Emergence & Consolidation Of Linguistic Representations Throughout LLM Pretraining
Deniz Bayazit
Aaron Mueller
Antoine Bosselut
160
1
0
05 Sep 2025
Orientability of Causal Relations in Time Series using Summary Causal Graphs and Faithful Distributions
Orientability of Causal Relations in Time Series using Summary Causal Graphs and Faithful Distributions
Timothée Loranchet
Charles K. Assaad
CML
135
0
0
29 Aug 2025
Detecting and Characterizing Planning in Language Models
Detecting and Characterizing Planning in Language Models
Jatin Nainani
Sankaran Vaidyanathan
Connor Watts
Andre N. Assis
Alice Rigg
LLMAGLRM
147
0
0
25 Aug 2025
From Indirect Object Identification to Syllogisms: Exploring Binary Mechanisms in Transformer Circuits
From Indirect Object Identification to Syllogisms: Exploring Binary Mechanisms in Transformer Circuits
Jiaqi W. Ma
Shichang Zhang
169
0
0
22 Aug 2025
How Causal Abstraction Underpins Computational Explanation
How Causal Abstraction Underpins Computational Explanation
Atticus Geiger
Jacqueline Harding
Thomas Icard
180
3
0
15 Aug 2025
Who cuts emissions, who turns up the heat? causal machine learning estimates of energy efficiency interventions
Who cuts emissions, who turns up the heat? causal machine learning estimates of energy efficiency interventions
Bernardino DÁmico
Francesco Pomponi
Jay H. Arehart
Lina Khaddour
AI4CE
116
2
0
06 Aug 2025
Dissecting Persona-Driven Reasoning in Language Models via Activation Patching
Dissecting Persona-Driven Reasoning in Language Models via Activation Patching
Ansh Poonia
Maeghal Jain
266
0
0
28 Jul 2025
Latent Concept Disentanglement in Transformer-based Language Models
Latent Concept Disentanglement in Transformer-based Language Models
Guan Zhe Hong
Bhavya Vasudeva
Willie Neiswanger
Cyrus Rashtchian
Prabhakar Raghavan
Rina Panigrahy
ReLMLRM
438
2
0
20 Jun 2025
Visual symbolic mechanisms: Emergent symbol processing in vision language models
Visual symbolic mechanisms: Emergent symbol processing in vision language models
Rim Assouel
Declan Campbell
Taylor Webb
Taylor Webb
330
4
0
18 Jun 2025
Causal Mediation Analysis with Multiple Mediators: A Simulation Approach
Causal Mediation Analysis with Multiple Mediators: A Simulation Approach
Jesse Zhou
G. Wodtke
CML
217
0
0
16 Jun 2025
DISCO: Mitigating Bias in Deep Learning with Conditional Distance Correlation
DISCO: Mitigating Bias in Deep Learning with Conditional Distance Correlation
Emre Kavak
Tom Nuno Wolf
Christian Wachinger
CML
229
0
0
13 Jun 2025
Same Task, Different Circuits: Disentangling Modality-Specific Mechanisms in VLMs
Yaniv Nikankin
Dana Arad
Yossi Gandelsman
Yonatan Belinkov
439
13
0
10 Jun 2025
Diffusion Counterfactual Generation with Semantic Abduction
Diffusion Counterfactual Generation with Semantic Abduction
Rajat Rasal
Avinash Kori
Fabio De Sousa Ribeiro
Tian Xia
Ben Glocker
DiffM
315
4
0
09 Jun 2025
Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety
Interpretation Meets Safety: A Survey on Interpretation Methods and Tools for Improving LLM Safety
Seongmin Lee
Aeree Cho
Grace C. Kim
ShengYun Peng
Mansi Phute
Duen Horng Chau
LM&MAAI4CE
400
6
0
05 Jun 2025
M-learner:A Flexible And Powerful Framework To Study Heterogeneous Treatment Effect In Mediation Model
M-learner:A Flexible And Powerful Framework To Study Heterogeneous Treatment Effect In Mediation Model
Xingyu Li
Qing Liu
Tony Jiang
Hong Amy Xia
Brian P. Hobbs
Peng Wei
329
1
0
23 May 2025
Walking the Tightrope: Disentangling Beneficial and Detrimental Drifts in Non-Stationary Custom-Tuning
Walking the Tightrope: Disentangling Beneficial and Detrimental Drifts in Non-Stationary Custom-Tuning
Xiaoyu Yang
Jie Lu
En Yu
381
7
0
19 May 2025
Causal mediation analysis with one or multiple mediators: a comparative study
Causal mediation analysis with one or multiple mediators: a comparative study
Judith Abécassis
Houssam Zenati
Sami Boumaïza
Julie Josse
Bertrand Thirion
CML
216
0
0
12 May 2025
Decomposition of Probabilities of Causation with Two Mediators
Decomposition of Probabilities of Causation with Two MediatorsConference on Uncertainty in Artificial Intelligence (UAI), 2025
Yuta Kawakami
Jin Tian
CML
282
1
0
08 May 2025
Local Markov Equivalence for PC-style Local Causal Discovery and Identification of Controlled Direct Effects
Local Markov Equivalence for PC-style Local Causal Discovery and Identification of Controlled Direct Effects
Timothée Loranchet
Charles K. Assaad
CML
315
1
0
05 May 2025
Scaling sparse feature circuit finding for in-context learning
Scaling sparse feature circuit finding for in-context learning
Dmitrii Kharlapenko
Shivalika Singh
Fazl Barez
Arthur Conmy
Neel Nanda
402
4
0
18 Apr 2025
MIB: A Mechanistic Interpretability Benchmark
MIB: A Mechanistic Interpretability Benchmark
Aaron Mueller
Atticus Geiger
Sarah Wiegreffe
Dana Arad
Iván Arcuschin
...
Alessandro Stolfo
Martin Tutek
Amir Zur
David Bau
Yonatan Belinkov
826
20
0
17 Apr 2025
How do Large Language Models Understand Relevance? A Mechanistic Interpretability Perspective
How do Large Language Models Understand Relevance? A Mechanistic Interpretability Perspective
Qi Liu
Jiaxin Mao
Ji-Rong Wen
LRM
320
5
0
10 Apr 2025
Causality-Aware Next Location Prediction Framework based on Human Mobility Stratification
Causality-Aware Next Location Prediction Framework based on Human Mobility Stratification
Xiaojie Yang
Z. Fan
Hangli Ge
Takashi Michikata
Ryosuke Shibasaki
Noboru Koshizuka
249
2
0
23 Mar 2025
Exploring Model Editing for LLM-based Aspect-Based Sentiment Classification
Exploring Model Editing for LLM-based Aspect-Based Sentiment ClassificationAAAI Conference on Artificial Intelligence (AAAI), 2025
Shichen Li
Zhongqing Wang
Zheyu Zhao
Yue Zhang
Peifeng Li
KELM
203
9
0
19 Mar 2025
Are formal and functional linguistic mechanisms dissociated in language models?
Are formal and functional linguistic mechanisms dissociated in language models?
Michael Hanna
Sandro Pezzelle
Yonatan Belinkov
595
6
0
14 Mar 2025
Resolving UnderEdit & OverEdit with Iterative & Neighbor-Assisted Model Editing
Resolving UnderEdit & OverEdit with Iterative & Neighbor-Assisted Model Editing
Bhiman Kumar Baghel
Scott M. Jordan
Zheyuan Ryan Shi
Xiang Lorraine Li
KELM
452
0
0
14 Mar 2025
Double Debiased Machine Learning for Mediation Analysis with Continuous Treatments
Double Debiased Machine Learning for Mediation Analysis with Continuous TreatmentsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Houssam Zenati
Judith Abécassis
Julie Josse
Bertrand Thirion
211
1
0
08 Mar 2025
Disentangled Knowledge Tracing for Alleviating Cognitive Bias
Disentangled Knowledge Tracing for Alleviating Cognitive BiasThe Web Conference (WWW), 2025
Yiyun Zhou
Zheqi Lv
Shengyu Zhang
Jingyuan Chen
AI4Ed
306
17
0
04 Mar 2025
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models
Ruta Binkyte
Ivaxi Sheth
Zhijing Jin
Mohammad Havaei
Bernhard Schölkopf
Mario Fritz
CML
1.4K
6
0
28 Feb 2025
Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models
Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models
Yukang Yang
Declan Campbell
Kaixuan Huang
Mengdi Wang
Jonathan D. Cohen
Taylor Webb
LRM
473
24
0
27 Feb 2025
A Causal Lens for Evaluating Faithfulness Metrics
A Causal Lens for Evaluating Faithfulness Metrics
Kerem Zaman
Shashank Srivastava
640
10
0
26 Feb 2025
A Close Look at Decomposition-based XAI-Methods for Transformer Language Models
A Close Look at Decomposition-based XAI-Methods for Transformer Language Models
L. Arras
Bruno Puri
Patrick Kahardipraja
Sebastian Lapuschkin
Wojciech Samek
401
7
0
21 Feb 2025
Causal Mean Field Multi-Agent Reinforcement Learning
Causal Mean Field Multi-Agent Reinforcement LearningIEEE International Joint Conference on Neural Network (IJCNN), 2023
Hao Ma
Zhiqiang Pu
Yi Pan
Boyin Liu
Junlong Gao
Zhenyu Guo
453
0
0
20 Feb 2025
The Validation Gap: A Mechanistic Analysis of How Language Models Compute Arithmetic but Fail to Validate It
The Validation Gap: A Mechanistic Analysis of How Language Models Compute Arithmetic but Fail to Validate It
Leonardo Bertolazzi
Philipp Mondorf
Yun Xue
Raffaella Bernardi
AIFinLRM
572
1
0
17 Feb 2025
Precise Parameter Localization for Textual Generation in Diffusion Models
Precise Parameter Localization for Textual Generation in Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2025
Łukasz Staniszewski
Bartosz Cywiński
Franziska Boenisch
Kamil Deja
Adam Dziedzic
DiffM
1.0K
4
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Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses
Revisiting the Berkeley Admissions data: Statistical Tests for Causal HypothesesConference on Uncertainty in Artificial Intelligence (UAI), 2025
Sourbh Bhadane
Joris Mooij
Philip A. Boeken
O. Zoeter
557
1
0
14 Feb 2025
Learning Task Representations from In-Context Learning
Learning Task Representations from In-Context LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Baturay Saglam
Zhuoran Yang
Zhuoran Yang
Dionysis Kalogerias
Amin Karbasi
352
9
0
08 Feb 2025
Position-aware Automatic Circuit Discovery
Position-aware Automatic Circuit DiscoveryAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Tal Haklay
Hadas Orgad
David Bau
Aaron Mueller
Yonatan Belinkov
226
9
0
07 Feb 2025
CodeSCM: Causal Analysis for Multi-Modal Code Generation
CodeSCM: Causal Analysis for Multi-Modal Code GenerationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2025
Mukur Gupta
Noopur Bhatt
Suman Jana
355
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