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← Reasoning
Knowledge & Reasoning
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Reasoning
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Causal Inference
934 directly classified papers
Papers per year
2006: 3
2007: 2
2008: 9
2009: 5
2010: 8
2011: 5
2012: 4
2013: 11
2014: 7
2015: 11
2016: 18
2017: 14
2018: 32
2019: 69
2020: 91
2021: 82
2022: 129
2023: 158
2024: 160
2025: 107
2026: 9
Papers
Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders
AAAI 2024
Smoke and Mirrors in Causal Downstream Tasks
NIPS 2024
Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes
AISTATS 2024
Graph Contrastive Invariant Learning from the Causal Perspective
AAAI 2024
Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning
AAAI 2024
Membership Testing in Markov Equivalence Classes via Independence Queries
AISTATS 2024
General Identifiability and Achievability for Causal Representation Learning
AISTATS 2024
Local Causal Discovery with Linear non-Gaussian Cyclic Models
AISTATS 2024
Action Inference for Destination Prediction in Vision-and-Language Navigation
ACL 2024
Stage-Aware Learning for Dynamic Treatments
JMLR 2024
Exploiting Geometry for Treatment Effect Estimation via Optimal Transport
AAAI 2024
Identifying General Mechanism Shifts in Linear Causal Representations
NIPS 2024
Causal Effect Identification in a Sub-Population with Latent Variables
NIPS 2024
Sample Complexity of Interventional Causal Representation Learning
NIPS 2024
Fast Proxy Experiment Design for Causal Effect Identification
NIPS 2024
De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts
CVPR 2024
Large Language Models Can Learn Temporal Reasoning
ACL 2024
Vision-and-Language Navigation via Causal Learning
CVPR 2024
When to Act and When to Ask: Policy Learning With Deferral Under Hidden Confounding
NIPS 2024
Multi-Domain Causal Representation Learning via Weak Distributional Invariances
AISTATS 2024
CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation
AAAI 2024
Learning and scoring Gaussian latent variable causal models with unknown additive interventions
JMLR 2024
Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-modal Language Models
CVPR 2024
PizzaCommonSense: A Dataset for Commonsense Reasoning about Intermediate Steps in Cooking Recipes
EMNLP 2024
Hacking Task Confounder in Meta-Learning
IJCAI 2024
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