Conditional Tensor Diffusion: Distributional Counterfactual Learning and Inference
stat.ML, cs.LG, econ.EM
Submitted: 2026-09-22
Updated: 2026-09-22
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Tensor Completion for Causal Inference with Multivariate Longitudinal Data: A Reevaluation of COVID-19 Mandates
- CP-factorization for high dimensional tensor time series and double projection iterations
- Deep Bootstrap
- Diffusion Factor Models: Generating High-Dimensional Returns with Factor Structure
- Optimal estimation of a factorizable density using diffusion models with ReLU neural networks
- Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory
- Causal Inference on Sequential Treatments via Tensor Completion
- Tucker Diffusion Model for High-dimensional Tensor Generation
- Weighted Tensor Completion for Time-Series Causal Inference
- Spatial Causal Tensor Completion for Multiple Exposures and Outcomes: An Application to the Health Effects of PFAS Pollution
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