Causal Inference
1,197 papers
Papers per year
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35
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Papers
MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs
AAAI 2024
Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference
ICML 2024
Multi-Domain Causal Representation Learning via Weak Distributional Invariances
AISTATS 2024
Multi-Granularity Causal Structure Learning
AAAI 2024
Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference
EMNLP 2024
Multimodal Event Causality Reasoning with Scene Graph Enhanced Interaction Network
AAAI 2024
Multiply-Robust Causal Change Attribution
ICML 2024
Natural Counterfactuals With Necessary Backtracking
NeurIPS 2024
NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation
AAAI 2024
On Causal Discovery in the Presence of Deterministic Relations
NeurIPS 2024
On Doubly Robust Inference for Double Machine Learning in Semiparametric Regression
JMLR 2024
On Online Experimentation without Device Identifiers
ICML 2024
On Positivity Condition for Causal Inference
ICML 2024
On the Parameter Identifiability of Partially Observed Linear Causal Models
NeurIPS 2024
On the Recoverability of Causal Relations from Temporally Aggregated I.I.D. Data
ICML 2024
On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games
NeurIPS 2024
On the Unlikelihood of D-Separation
PGM 2024
Optimal Kernel Choice for Score Function-based Causal Discovery
ICML 2024
Optimal Transport for Structure Learning Under Missing Data
ICML 2024
Ordering-Based Causal Discovery for Linear and Nonlinear Relations
NeurIPS 2024
Partial observation can induce mechanistic mismatches in data-constrained models of neural dynamics
NeurIPS 2024
PizzaCommonSense: A Dataset for Commonsense Reasoning about Intermediate Steps in Cooking Recipes
EMNLP 2024
Policy Learning for Localized Interventions from Observational Data
AISTATS 2024
Position: Is machine learning good or bad for the natural sciences?
ICML 2024
Position: The Causal Revolution Needs Scientific Pragmatism
ICML 2024