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Probabilistic Reasoning across the Causal Hierarchy
v1v2v3v4v5 (latest)

Probabilistic Reasoning across the Causal Hierarchy

AAAI Conference on Artificial Intelligence (AAAI), 2020
9 January 2020
D. Ibeling
Thomas Icard
    LRMAI4CE
ArXiv (abs)PDFHTML

Papers citing "Probabilistic Reasoning across the Causal Hierarchy"

12 / 12 papers shown
From LLMs to Agents: A Comparative Evaluation of LLMs and LLM-based Agents in Security Patch Detection
From LLMs to Agents: A Comparative Evaluation of LLMs and LLM-based Agents in Security Patch Detection
Junxiao Han
Zheng Yu
Lingfeng Bao
Jiakun Liu
Yao Wan
Jianwei Yin
Shuiguang Deng
Song Han
AAML
157
0
0
11 Nov 2025
Position: Causal Machine Learning Requires Rigorous Synthetic Experiments for Broader Adoption
Position: Causal Machine Learning Requires Rigorous Synthetic Experiments for Broader Adoption
Audrey Poinsot
Panayiotis Panayiotou
Alessandro Leite
Nicolas Chesneau
Özgür Şimşek
Marc Schoenauer
CMLELM
162
1
0
12 Aug 2025
Learning Counterfactual Outcomes Under Rank Preservation
Learning Counterfactual Outcomes Under Rank Preservation
Peng Wu
Haoxuan Li
Chunyuan Zheng
Yan Zeng
Jiawei Chen
Yang Liu
Ruocheng Guo
Jianchao Tan
372
4
0
10 Feb 2025
What is causal about causal models and representations?
What is causal about causal models and representations?
Frederik Hytting Jørgensen
Luigi Gresele
S. Weichwald
CML
606
5
0
31 Jan 2025
Nondeterministic Causal Models
Nondeterministic Causal Models
Sander Beckers
381
2
0
22 May 2024
Comparing Causal Frameworks: Potential Outcomes, Structural Models,
  Graphs, and Abstractions
Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and AbstractionsNeural Information Processing Systems (NeurIPS), 2023
D. Ibeling
Thomas Icard
CML
295
22
0
25 Jun 2023
The Hardness of Reasoning about Probabilities and Causality
The Hardness of Reasoning about Probabilities and CausalityInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Benito van der Zander
Markus Bläser
Maciej Liskiewicz
LRM
268
6
0
16 May 2023
Counterfactual Identifiability of Bijective Causal Models
Counterfactual Identifiability of Bijective Causal ModelsInternational Conference on Machine Learning (ICML), 2023
Arash Nasr-Esfahany
MohammadIman Alizadeh
Devavrat Shah
CMLBDL
535
41
0
04 Feb 2023
Formalizing Statistical Causality via Modal Logic
Formalizing Statistical Causality via Modal LogicEuropean Conference on Logics in Artificial Intelligence (JELIA), 2022
Yusuke Kawamoto
Sato Tetsuya
Kohei Suenaga
CMLLRM
503
2
0
30 Oct 2022
Neural Causal Models for Counterfactual Identification and Estimation
Neural Causal Models for Counterfactual Identification and Estimation
K. Xia
Yushu Pan
Elias Bareinboim
CML
351
60
0
30 Sep 2022
A Topological Perspective on Causal Inference
A Topological Perspective on Causal InferenceNeural Information Processing Systems (NeurIPS), 2021
D. Ibeling
Thomas Icard
AI4CE
236
10
0
18 Jul 2021
Thinking About Causation: A Causal Language with Epistemic Operators
Thinking About Causation: A Causal Language with Epistemic OperatorsDynamic Logic. New Trends and Applications (DALI), 2020
Fausto Barbero
K. Schulz
S. Smets
F. R. Velázquez-Quesada
Kaibo Xie
LRM
222
9
0
30 Oct 2020
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