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causal inference

1619 papers

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Also known as

ITE IDA SCM CI CATE

Co-occurring keywords

causal discovery (459) structural causal model (182) treatment effect (134) graphical model (863) counterfactual reasoning (224) representation learning (6174) observational datum (109) domain generalization (1517) causal effect (107) causal graph (137)

Papers

Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings NIPS 2021
Statistical Undecidability in Linear, Non-Gaussian Causal Models in the Presence of Latent Confounders NIPS 2021
Integrated Latent Heterogeneity and Invariance Learning in Kernel Space NIPS 2021
Error Causal inference for Multi-Fusion models NAACL 2021
Flow-based Attribution in Graphical Models: A Recursive Shapley Approach ICML 2021
Budgeted Heterogeneous Treatment Effect Estimation ICML 2021
Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression ICML 2021
Causality-aware counterfactual confounding adjustment as an alternative to linear residualization in anticausal prediction tasks based on linear learners ICML 2021
Active Learning of Continuous-time Bayesian Networks through Interventions ICML 2021
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning ICML 2021
A Generative Adversarial Framework for Bounding Confounded Causal Effects AAAI 2021
Transporting Causal Mechanisms for Unsupervised Domain Adaptation ICCV 2021
Policy Analysis using Synthetic Controls in Continuous-Time ICML 2021
A Language for Counterfactual Generative Models ICML 2021
Generative Causal Explanations for Graph Neural Networks ICML 2021
Does Invariant Risk Minimization Capture Invariance? AISTATS 2021
Minimal enumeration of all possible total effects in a Markov equivalence class AISTATS 2021
Causal Inference under Networked Interference and Intervention Policy Enhancement AISTATS 2021
Wasserstein Random Forests and Applications in Heterogeneous Treatment Effects AISTATS 2021
Differentiable Causal Discovery Under Unmeasured Confounding AISTATS 2021
Model-Free and Model-Based Policy Evaluation when Causality is Uncertain ICML 2021
Causal Modeling with Stochastic Confounders AISTATS 2021
Learning Matching Representations for Individualized Organ Transplantation Allocation AISTATS 2021
Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms AISTATS 2021
Efficient Balanced Treatment Assignments for Experimentation AISTATS 2021