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Causal Inference

934 directly classified papers

Papers per year

Papers

Towards Trustworthy Explanation: On Causal Rationalization ICML 2023
From Temporal to Contemporaneous Iterative Causal Discovery in the Presence of Latent Confounders ICML 2023
Normalizing Flows for Interventional Density Estimation ICML 2023
Conditional Syntax Splitting for Non-monotonic Inference Operators AAAI 2023
Causal Structure Learning for Latent Intervened Non-stationary Data ICML 2023
Covariate balancing using the integral probability metric for causal inference ICML 2023
Instrumental Variable Estimation of Average Partial Causal Effects ICML 2023
On the Relationship Between Explanation and Prediction: A Causal View ICML 2023
Nonlinear Causal Discovery with Latent Confounders ICML 2023
On Data Manifolds Entailed by Structural Causal Models ICML 2023
Causal Bounds in Quasi-Markovian Graphs ICML 2023
Task-specific experimental design for treatment effect estimation ICML 2023
Penguins Don’t Fly: Reasoning about Generics through Instantiations and Exceptions EACL 2023
Are All Steps Equally Important? Benchmarking Essentiality Detection in Event Processes EMNLP 2023
Event Causality Extraction via Implicit Cause-Effect Interactions EMNLP 2023
Evaluating Instrument Validity using the Principle of Independent Mechanisms JMLR 2023
Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles AISTATS 2023
Text-Transport: Toward Learning Causal Effects of Natural Language EMNLP 2023
A Diachronic Analysis of Paradigm Shifts in NLP Research: When, How, and Why? EMNLP 2023
SCALE: Causal Learning and Discovery of Robot Manipulation Skills using Simulation CORL 2023
What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery CORL 2023
Identify Event Causality with Knowledge and Analogy AAAI 2023
Causal Intervention for Human Trajectory Prediction with Cross Attention Mechanism AAAI 2023
TIMELINE: Exhaustive Annotation of Temporal Relations Supporting the Automatic Ordering of Events in News Articles EMNLP 2023
Quantifying Consistency and Information Loss for Causal Abstraction Learning IJCAI 2023