conftrace_

causal graph

140 papers

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Also known as

CG

Co-occurring keywords

causal inference (1630) causal discovery (460) graphical model (864) large language model (13587) directed acyclic graph (245) causal effect (107) markov equivalence class (37) latent variable (541) conditional independence (113) structural learning (53)

Papers

IRIS: An Iterative and Integrated Framework for Verifiable Causal Discovery in the Absence of Tabular Data ACL 2025
Causal Layering via Conditional Entropy CLEAR 2024
Bootstrap aggregation and confidence measures to improve time series causal discovery CLEAR 2024
Membership Testing in Markov Equivalence Classes via Independence Queries AISTATS 2024
Causal discovery in a complex industrial system: A time series benchmark CLEAR 2024
Disentangled Representation Learning in Non-Markovian Causal Systems NIPS 2024
Federated Causality Learning with Explainable Adaptive Optimization AAAI 2024
Interventional Causal Discovery in a Mixture of DAGs NIPS 2024
s-ID: Causal Effect Identification in a Sub-population AAAI 2024
Causal Discovery under Off-Target Interventions AISTATS 2024
Identifiability of Direct Effects from Summary Causal Graphs AAAI 2024
$\texttt{causalAssembly}$: Generating Realistic Production Data for Benchmarking Causal Discovery CLEAR 2024
Causally Inspired Regularization Enables Domain General Representations AISTATS 2024
QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs NIPS 2024
Amortized Active Causal Induction with Deep Reinforcement Learning NIPS 2024
Causal discovery with endogenous context variables NIPS 2024
Sample Efficient Bayesian Learning of Causal Graphs from Interventions NIPS 2024
Conditional Adjustment in a Markov Equivalence Class AISTATS 2024
Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity NIPS 2024
Self-Compatibility: Evaluating Causal Discovery without Ground Truth AISTATS 2024
TFCD: Towards Multi-modal Sarcasm Detection via Training-Free Counterfactual Debiasing IJCAI 2024
Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs AAAI 2024
DoWhy-GCM: An Extension of DoWhy for Causal Inference in Graphical Causal Models JMLR 2024
CLEAR: Can Language Models Really Understand Causal Graphs? EMNLP 2024
Identifying Causal Effects Under Functional Dependencies NIPS 2024