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Causal Inference

3310 directly classified papers

Papers per year

Papers

Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling NIPS 2023
Temporally Disentangled Representation Learning under Unknown Nonstationarity NIPS 2023
Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision NIPS 2023
Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective NIPS 2023
IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval NIPS 2023
Granger Components Analysis: Unsupervised learning of latent temporal dependencies NIPS 2023
An information-theoretic quantification of the content of communication between brain regions NIPS 2023
Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints NIPS 2023
Learning from Both Structural and Textual Knowledge for Inductive Knowledge Graph Completion NIPS 2023
OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping NIPS 2023
Bayesian Active Causal Discovery with Multi-Fidelity Experiments NIPS 2023
Spatial Correspondence between Graph Neural Network-Segmented Images MIDL 2023
Improved multi-site Parkinson’s disease classification using neuroimaging data with counterfactual inference MIDL 2023
Intra- and Inter-Cellular Awareness for 3D Neuron Tracking and Segmentation in Large-Scale Connectomics MIDL 2023
Estimation of Counterfactual Interventions under Uncertainties ACML 2023
Alignment via Mutual Information CONLL 2023
How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations CORL 2023
Grounding Complex Natural Language Commands for Temporal Tasks in Unseen Environments CORL 2023
Transfer learning for individual treatment effect estimation UAI 2023
Do we become wiser with time? On causal equivalence with tiered background knowledge UAI 2023
Causal effect estimation from observational and interventional data through matrix weighted linear estimators UAI 2023
Variable importance matching for causal inference UAI 2023
Finding Invariant Predictors Efficiently via Causal Structure UAI 2023
Causal information splitting: Engineering proxy features for robustness to distribution shifts UAI 2023
Learning good interventions in causal graphs via covering UAI 2023