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Causal Inference

3310 directly classified papers

Papers per year

Papers

Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable Guarantees AAAI 2024

Unit Selection with Nonbinary Treatment and Effect AAAI 2024

Offline Policy Evaluation and Optimization Under Confounding AISTATS 2024

CELLO: Causal Evaluation of Large Vision-Language Models EMNLP 2024

Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges IJCAI 2024

Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge IJCAI 2024

Temporal Cognitive Tree: A Hierarchical Modeling Approach for Event Temporal Relation Extraction EMNLP 2024

Guided Knowledge Generation with Language Models for Commonsense Reasoning EMNLP 2024

Probabilities of Causation with Nonbinary Treatment and Effect AAAI 2024

Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach AAAI 2024

CASA: Causality-driven Argument Sufficiency Assessment NAACL 2024

Identification for Tree-Shaped Structural Causal Models in Polynomial Time AAAI 2024

Backward Responsibility in Transition Systems Using General Power Indices AAAI 2024

Causal Contrastive Learning for Counterfactual Regression Over Time NIPS 2024

What Makes Medical Claims (Un)Verifiable? Analyzing Entity and Relation Properties for Fact Verification EACL 2024

How and where does CLIP process negation? ACL 2024

Estimating treatment effects from single-arm trials via latent-variable modeling AISTATS 2024

Inference Helps PLMs’ Conceptual Understanding: Improving the Abstract Inference Ability with Hierarchical Conceptual Entailment Graphs EMNLP 2024

Tangential Wasserstein Projections JMLR 2024

A/B testing under Interference with Partial Network Information AISTATS 2024

General Identifiability and Achievability for Causal Representation Learning AISTATS 2024

Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian Detection CVPR 2024

Causal Temporal Representation Learning with Nonstationary Sparse Transition NIPS 2024

De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts CVPR 2024

CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation AAAI 2024