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Causal Inference

3,310 papers

Papers per year

Papers

Counterfactual harm NIPS 2022
Generative multitask learning mitigates target-causing confounding NIPS 2022
Unsupervised Causal Generative Understanding of Images NIPS 2022
Off-Policy Evaluation with Policy-Dependent Optimization Response NIPS 2022
Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation NIPS 2022
Cluster Randomized Designs for One-Sided Bipartite Experiments NIPS 2022
Neural Conservation Laws: A Divergence-Free Perspective NIPS 2022
Weakly supervised causal representation learning NIPS 2022
Lidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth Completion CORL 2022
CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation CORL 2022
Online Inverse Reinforcement Learning with Learned Observation Model CORL 2022
Causal Intervention for Subject-Deconfounded Facial Action Unit Recognition AAAI 2022
Deconfounded Visual Grounding AAAI 2022
Deconfounding Physical Dynamics with Global Causal Relation and Confounder Transmission for Counterfactual Prediction AAAI 2022
A Causal Debiasing Framework for Unsupervised Salient Object Detection AAAI 2022
A Causal Inference Look at Unsupervised Video Anomaly Detection AAAI 2022
Information-Theoretic Bias Reduction via Causal View of Spurious Correlation AAAI 2022
Heterogeneous Peer Effects in the Linear Threshold Model AAAI 2022
Learning Human Driving Behaviors with Sequential Causal Imitation Learning AAAI 2022
From Actions to Programs as Abstract Actual Causes AAAI 2022
On Testing for Discrimination Using Causal Models AAAI 2022
Reasoning about Causal Models with Infinitely Many Variables AAAI 2022
Unit Selection with Causal Diagram AAAI 2022
Bounds on Causal Effects and Application to High Dimensional Data AAAI 2022
On Paraconsistent Belief Revision in LP AAAI 2022