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Causal Inference

3310 directly classified papers

Papers per year

Papers

Causal Fairness for Outcome Control NIPS 2023

Approximate Allocation Matching for Structural Causal Bandits with Unobserved Confounders NIPS 2023

Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation NIPS 2023

When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning NIPS 2023

Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits NIPS 2023

Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making NIPS 2023

Causal Imitability Under Context-Specific Independence Relations NIPS 2023

Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach NIPS 2023

Estimating long-term causal effects from short-term experiments and long-term observational data with unobserved confounding CLEAR 2023

Structured Neural Networks for Density Estimation and Causal Inference NIPS 2023

Scalable Causal Discovery with Score Matching CLEAR 2023

Causal Discovery with Score Matching on Additive Models with Arbitrary Noise CLEAR 2023

Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation NIPS 2023

Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL NIPS 2023

Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costs NIPS 2023

Finding Counterfactually Optimal Action Sequences in Continuous State Spaces NIPS 2023

Local Causal Discovery for Estimating Causal Effects CLEAR 2023

FairFed: Enabling Group Fairness in Federated Learning AAAI 2023

Causal Inference under Interference and Model Uncertainty CLEAR 2023

Leveraging Causal Graphs for Blocking in Randomized Experiments CLEAR 2023

Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference ACL 2023

A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models ACL 2023

Distinguishing Cause from Effect on Categorical Data: The Uniform Channel Model CLEAR 2023

Causal Abstraction with Soft Interventions CLEAR 2023

Connectivity-contrastive learning: Combining causal discovery and representation learning for multimodal data AISTATS 2023