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Causal Inference

934 directly classified papers

Papers per year

Papers

Reasoning about Causal Models with Infinitely Many Variables AAAI 2022
Reinforcement Learning of Causal Variables Using Mediation Analysis AAAI 2022
Path-Specific Objectives for Safer Agent Incentives AAAI 2022
A Complete Criterion for Value of Information in Soluble Influence Diagrams AAAI 2022
CausalGNN: Causal-Based Graph Neural Networks for Spatio-Temporal Epidemic Forecasting AAAI 2022
CURIE: An Iterative Querying Approach for Reasoning About Situations ACL 2022
Retrieval Augmentation for Commonsense Reasoning: A Unified Approach EMNLP 2022
ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks EMNLP 2022
An Adaptive Logical Rule Embedding Model for Inductive Reasoning over Temporal Knowledge Graphs EMNLP 2022
Optimal Rates for Regularized Conditional Mean Embedding Learning NIPS 2022
Verification and search algorithms for causal DAGs NIPS 2022
Using Embeddings for Causal Estimation of Peer Influence in Social Networks NIPS 2022
Adaptively Exploiting d-Separators with Causal Bandits NIPS 2022
Temporally Disentangled Representation Learning NIPS 2022
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning NIPS 2022
Independence Testing-Based Approach to Causal Discovery under Measurement Error and Linear Non-Gaussian Models NIPS 2022
Root Cause Analysis of Failures in Microservices through Causal Discovery NIPS 2022
Anticipating Performativity by Predicting from Predictions NIPS 2022
Finding and Listing Front-door Adjustment Sets NIPS 2022
Discovery of extended summary graphs in time series UAI 2022
On the definition and computation of causal treewidth UAI 2022
Greedy equivalence search in the presence of latent confounders UAI 2022
Revisiting the general identifiability problem UAI 2022
Greedy relaxations of the sparsest permutation algorithm UAI 2022
Ordinal causal discovery UAI 2022