Causal Inference
1,197 papers
Papers per year
3
2
9
5
8
5
4
11
8
13
18
14
35
65
95
84
132
161
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52
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Papers
Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models
ICML 2022
Selection, Ignorability and Challenges With Causal Fairness
CLeaR 2022
Selective Machine Learning of the Average Treatment Effect with an Invalid Instrumental Variable
JMLR 2022
Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang
ACL 2022
Staggered Rollout Designs Enable Causal Inference Under Interference Without Network Knowledge
NeurIPS 2022
Structure Learning for Directed Trees
JMLR 2022
Tell me why! Explanations support learning relational and causal structure
ICML 2022
Temporally Disentangled Representation Learning
NeurIPS 2022
The Functional LiNGAM
PGM 2022
Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation
ACL 2022
Tractable Uncertainty for Structure Learning
ICML 2022
Typing assumptions improve identification in causal discovery
CLeaR 2022
Unsupervised Editing for Counterfactual Stories
AAAI 2022
Using Embeddings for Causal Estimation of Peer Influence in Social Networks
NeurIPS 2022
Variance Minimization in the Wasserstein Space for Invariant Causal Prediction
AISTATS 2022
Verification and search algorithms for causal DAGs
NeurIPS 2022
Weakly but Deeply Supervised Occlusion-Reasoned Parametric Road Layouts
CVPR 2022
When did you become so smart, oh wise one?! Sarcasm Explanation in Multi-modal Multi-party Dialogues
ACL 2022
A Bayesian Framework for Information-Theoretic Probing
EMNLP 2021
A Bayesian nonparametric conditional two-sample test with an application to Local Causal Discovery
UAI 2021
A Causal Approach for Unfair Edge Prioritization and Discrimination Removal
ACML 2021
A Causal Lens for Controllable Text Generation
NeurIPS 2021
ACRE: Abstract Causal REasoning Beyond Covariation
CVPR 2021
An Attention Based Multi-view Model for Sarcasm Cause Detection (Student Abstract)
AAAI 2021
An Information-Theoretic Approach on Causal Structure Learning for Heterogeneous Data Characteristics of Real-World Scenarios
IJCAI 2021