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Optimization & Theory
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Causal Inference
28 directly classified papers
Papers per year
2013: 1
2020: 2
2021: 2
2022: 2
2023: 6
2024: 12
2025: 3
Papers
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism
IJCAI 2025
Counterfactual Online Learning for Open-Loop Monte-Carlo Planning
AAAI 2025
Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal Transport
AAAI 2025
Fast Proxy Experiment Design for Causal Effect Identification
NIPS 2024
Counterfactual Fairness by Combining Factual and Counterfactual Predictions
NIPS 2024
Who’s Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation
NIPS 2024
Identifying General Mechanism Shifts in Linear Causal Representations
NIPS 2024
Higher-Order Causal Message Passing for Experimentation with Complex Interference
NIPS 2024
Underspecification in Language Modeling Tasks: A Causality-Informed Study of Gendered Pronoun Resolution
AAAI 2024
s-ID: Causal Effect Identification in a Sub-population
AAAI 2024
Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs
AAAI 2024
Learning Fair Policies for Multi-Stage Selection Problems from Observational Data
AAAI 2024
AGR: Reinforced Causal Agent-Guided Self-explaining Rationalization
ACL 2024
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction
EMNLP 2024
Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments
NIPS 2024
CausalDialogue: Modeling Utterance-level Causality in Conversations
ACL 2023
Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints
NIPS 2023
A Measure-Theoretic Axiomatisation of Causality
NIPS 2023
A Diachronic Analysis of Paradigm Shifts in NLP Research: When, How, and Why?
EMNLP 2023
Probabilities of Potential Outcome Types in Experimental Studies: Identification and Estimation Based on Proxy Covariate Information
AAAI 2023
Does the Correctness of Factual Knowledge Matter for Factual Knowledge-Enhanced Pre-trained Language Models?
EMNLP 2023
Deep Learning Methods for Proximal Inference via Maximum Moment Restriction
NIPS 2022
Residual Similarity Based Conditional Independence Test and Its Application in Causal Discovery
AAAI 2022
Instrumental Variable-based Identification for Causal Effects using Covariate Information
AAAI 2021
Distilling Causal Effect of Data in Class-Incremental Learning
CVPR 2021
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