Skip to content
conftrace_

Causal Inference

1,197 papers

8
13
95
233
'10
'15
'20
'25

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