Symmetry-Informed Causal Partial Identification
cs.LG
Submitted: 2026-10-06
Updated: 2026-10-06
Code: https://github.com/uzairakbar/symmetry4CausalBounds
Sources
- Invariant Risk Minimization
- Distributionally Robust Causal Inference with Observational Data
- Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
- Neck-Learn: Attention-Based Multiple Instance Learning and Ensemble Framework for Ecological Momentary Assessment
- Counterfactual Cocycles: A Framework for Robust and Coherent Counterfactual Transports
- Nonparametric Instrumental Variables Estimation Under Misspecification
- Data Augmentation via Causal-Residual Bootstrapping
- Partial Identification of Causal Effects Using Proxy Variables
- A path-sampling method to partially identify causal effects in instrumental variable models
- Sensitivity analysis under the $f$-sensitivity models: a distributional robustness perspective
- Causal Regularization: On the trade-off between in-sample risk and out-of-sample risk guarantees
- On the Benefits of Invariance in Neural Networks
- Symmetries and Causality: Causal Effect Identification Beyond IID Data
- Geometric Causal Models
- A Neural Mean Embedding Approach for Back-door and Front-door Adjustment
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