causal effect

Proportion-based Sensitivity Analysis of Uncontrolled Confounding Bias in Causal Inference IJCAI 2024 Tight Partial Identification of Causal Effects with Marginal Distribution of Unmeasured Confounders ICML 2024 Towards Bounding Causal Effects under Markov Equivalence UAI 2024 Who’s Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation NeurIPS 2024 Always the Best Fit: Adaptive Domain Gap Filling from Causal Perspective for Few-Shot Relation Extraction EMNLP 2023 Approximate Causal Effect Identification under Weak Confounding ICML 2023 A Reinforcement Learning Framework for Dynamic Mediation Analysis ICML 2023 Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention IJCAI 2023 Causal Effect Regularization: Automated Detection and Removal of Spurious Correlations NeurIPS 2023 Causal Entropy Optimization AISTATS 2023 Causal Inference from Text: Unveiling Interactions between Variables EMNLP 2023 Causal inference with outcome-dependent missingness and self-censoring UAI 2023 Disentangled Representation for Causal Mediation Analysis AAAI 2023 Estimating long-term causal effects from short-term experiments and long-term observational data with unobserved confounding CLeaR 2023 Estimating Possible Causal Effects with Latent Variables via Adjustment ICML 2023 Evaluating Instrument Validity using the Principle of Independent Mechanisms JMLR 2023 Fast Counterfactual Inference for History-Based Reinforcement Learning AAAI 2023 Instrumental Variable Estimation of Average Partial Causal Effects ICML 2023 Lazy Agents: A New Perspective on Solving Sparse Reward Problem in Multi-agent Reinforcement Learning ICML 2023 Leveraging Causal Graphs for Blocking in Randomized Experiments CLeaR 2023 Sequential Underspecified Instrument Selection for Cause-Effect Estimation ICML 2023 Stochastic Causal Programming for Bounding Treatment Effects CLeaR 2023 The Hardness of Reasoning about Probabilities and Causality IJCAI 2023 An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects NeurIPS 2022 A robustness test for estimating total effects with covariate adjustment UAI 2022