Papers
Causal Discovery via Bayesian Optimization
Bao Duong, Sunil Gupta, Thin Nguyen
Causal Disentanglement and Cross-Modal Alignment for Enhanced Few-Shot Learning
Tianjiao Jiang, Zhen Zhang, Yuhang Liu et al.
Causal drivers of dynamic networks
Melania Lembo, Ester Riccardi, Veronica Vinciotti et al.
Causal Effect Estimation with Mixed Latent Confounders and Post-treatment Variables
Yaochen Zhu, Jing Ma, Liang Wu et al.
Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments
Yaroslav Kivva, Sina Akbari, Saber Salehkaleybar et al.
Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants
Daniele Tramontano, Yaroslav Kivva, Saber Salehkaleybar et al.
Causal Effect of Functional Treatment
Ruoxu Tan, Wei Huang, Zheng Zhang et al.
Causal Eligibility Traces for Confounding Robust Off-Policy Evaluation
Junzhe Zhang, Elias Bareinboim
Causal-Entity Reflected Egocentric Traffic Accident Video Synthesis
Lei-Lei Li, Jianwu Fang, Junbin Xiao et al.
Causal Estimation of Tokenisation Bias
Pietro Lesci, Clara Meister, Thomas Hofmann et al.
CausalEval: Towards Better Causal Reasoning in Language Models
Longxuan Yu, Delin Chen, Siheng Xiong et al.
Causal Explanation of Quality of Parent-Child Interactions with Multimodal Behavioral Features (Student Abstract)
Katherine M. Guerrerio, Lujie Karen Chen, Lisa Berlin et al.
CausalGraph2LLM: Evaluating LLMs for Causal Queries
Ivaxi Sheth, Bahare Fatemi, Mario Fritz
Causal Graph based Event Reasoning using Semantic Relation Experts
Mahnaz Koupaee, Xueying Bai, Mudan Chen et al.
CausalGraphBench: a Benchmark for Evaluating Language Models capabilities of Causal Graph discovery
Nikolay Babakov, Ehud Reiter, Alberto Bugarín-Diz
Causal Graphical Models for Vision-Language Compositional Understanding
Fiorenzo Parascandolo, Nicholas Moratelli, Enver Sangineto et al.
Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference
Anpeng Wu, Haiyi Qiu, Zhengming Chen et al.
Causal Identification in Time Series Models
Erik L Jahn, Karthik Karnik, Leonard Schulman
Causal Inference amid Missingness-Specific Independences and Mechanism Shifts
Johan de Aguas, Leonard Henckel, Johan Pensar et al.
Causal Inference over Visual-Semantic-Aligned Graph for Image Classification
Lei Meng, Xiangxian Li, Xiaoshuo Yan et al.
Causal Information Prioritization for Efficient Reinforcement Learning
Hongye Cao, Fan Feng, Tianpei Yang et al.
Causal-Inspired Multitask Learning for Video-Based Human Pose Estimation
Haipeng Chen, Sifan Wu, Zhigang Wang et al.
Causal Interventions Reveal Shared Structure Across English Filler–Gap Constructions
Sasha Boguraev, Christopher Potts, Kyle Mahowald