causal inference

A Neural Mean Embedding Approach for Back-door and Front-door Adjustment ICLR 2023 An information-theoretic quantification of the content of communication between brain regions NeurIPS 2023 An Instrumental Variable Approach to Confounded Off-Policy Evaluation ICML 2023 Approximate Allocation Matching for Structural Causal Bandits with Unobserved Confounders NeurIPS 2023 Approximate Causal Effect Identification under Weak Confounding ICML 2023 Are All Steps Equally Important? Benchmarking Essentiality Detection in Event Processes EMNLP 2023 A Reinforcement Learning Framework for Dynamic Mediation Analysis ICML 2023 A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models NeurIPS 2023 A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data AAAI 2023 Assessing Learned Representations under Open-World Novelty AAAI 2023 Assumption violations in causal discovery and the robustness of score matching NeurIPS 2023 Average Adjusted Association: Efficient Estimation with High Dimensional Confounders AISTATS 2023 Backdoor Defense via Deconfounded Representation Learning CVPR 2023 B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding ICML 2023 CafeBoost: Causal Feature Boost To Eliminate Task-Induced Bias for Class Incremental Learning CVPR 2023 Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning? CLeaR 2023 Can We Faithfully Represent Absence States to Compute Shapley Values on a DNN? ICLR 2023 Causal Balancing for Domain Generalization ICLR 2023 Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention IJCAI 2023 Causal Bounds in Quasi-Markovian Graphs ICML 2023 Causal Conditional Hidden Markov Model for Multimodal Traffic Prediction AAAI 2023 Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness NeurIPS 2023 Causal-Debias: Unifying Debiasing in Pretrained Language Models and Fine-tuning via Causal Invariant Learning ACL 2023 Causal Deep Reinforcement Learning Using Observational Data IJCAI 2023 Causal-DFQ: Causality Guided Data-Free Network Quantization ICCV 2023