Structure-agnostic Causal Representation Learning

arXiv:2610.00968 · cs.LG, cs.AI · Submitted 2026-10-01 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-10-01

Updated: 2026-10-01

Code: https://github.com/ArmanBehnam/sacrl

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Representation Learning — 1× in this paper · explained in 2 episodes

Sources

• Invariant Risk Minimization
• How AI and Human Behaviors Shape Psychosocial Effects of Extended Chatbot Use: A Longitudinal Randomized Controlled Study
• Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
• Inherent Trade-Offs in the Fair Determination of Risk Scores
• Fairness and robustness in anti-causal prediction
• Discovering environments with XRM
• Practical Kernel Tests of Conditional Independence
• Learning Neural Causal Models with Active Interventions
• On Causal and Anticausal Learning
• LCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with Class Taxonomies
• An Introduction to Proximal Causal Learning
• Counterfactual Invariance to Spurious Correlations: Why and How to Pass Stress Tests
• The Causal Structure of Domain Invariant Supervised Representation Learning
• Kernel-based Conditional Independence Test and Application in Causal Discovery

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