Causal Inference
636 papers
Papers per year
1
4
1
5
1
2
5
4
7
14
12
23
39
52
63
90
91
114
90
18
'10
'15
'20
'25
Papers
Interventional Causal Discovery in a Mixture of DAGs
NeurIPS 2024
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach
ICLR 2024
Invariant Causal Prediction with Local Models
UAI 2024
Kernel-Based Differentiable Learning of Non-Parametric Directed Acyclic Graphical Models
PGM 2024
KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs
AAAI 2024
Learning Causal Abstractions of Linear Structural Causal Models
UAI 2024
Learning Causal Markov Boundaries with Mixed Observational and Experimental Data
PGM 2024
Learning Diffusions under Uncertainty
AAAI 2024
Learning Fair Policies for Multi-Stage Selection Problems from Observational Data
AAAI 2024
Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity
NeurIPS 2024
Limits of Approximating the Median Treatment Effect
COLT 2024
Linear Causal Bandits: Unknown Graph and Soft Interventions
NeurIPS 2024
Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs
AAAI 2024
Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs
UAI 2024
Long-Term Fair Decision Making through Deep Generative Models
AAAI 2024
Marrying Causal Representation Learning with Dynamical Systems for Science
NeurIPS 2024
MECD: Unlocking Multi-Event Causal Discovery in Video Reasoning
NeurIPS 2024
Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making
NeurIPS 2024
Mind the Graph When Balancing Data for Fairness or Robustness
NeurIPS 2024
Multimodal Event Causality Reasoning with Scene Graph Enhanced Interaction Network
AAAI 2024
Neural Causal Abstractions
AAAI 2024
On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis for Parametric Models
JMLR 2024
On the Actionability of Outcome Prediction
AAAI 2024
On the Misspecification of Linear Assumptions in Synthetic Controls
AISTATS 2024
On the Parameter Identifiability of Partially Observed Linear Causal Models
NeurIPS 2024