Actionable CBFI: Prescriptive Interventional Diagnosis and Interaction-Aware Escalation for Sparse Causal Algorithmic Recourse

arXiv:2608.27821 · cs.LG, cs.AI · Submitted 2026-08-28 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-08-28

Updated: 2026-10-27

Code: https://github.com/dkumango/actionable_CBFI

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

Terminology

• Sparsity — 27× in this paper · explained in 4 episodes
• Benchmark — 21× in this paper · explained in 2 episodes
• Ablation — 12× in this paper · explained in 1 episode
• Structural Causal Model — 12× in this paper
• Consistency — 11× in this paper · explained in 3 episodes
• Core — 6× in this paper · explained in 2 episodes
• Actionability — 5× in this paper · explained in 3 episodes
• Structural Constraints — 5× in this paper · explained in 2 episodes
• Interaction-Guided Beam Search — 4× in this paper
• Interpretability — 4× in this paper · explained in 15 episodes
• Model-Agnostic — 4× in this paper · explained in 2 episodes
• Recourse Concentration Ratio — 3× in this paper
• Structural Causal Model (SCM) — 3× in this paper · explained in 4 episodes
• Accountability — 2× in this paper · explained in 2 episodes
• Combinatorial Optimization — 2× in this paper · explained in 2 episodes
• Predictive Modeling — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Support Vector Machine — 2× in this paper
• Verification — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Accuracy — 1× in this paper · explained in 1 episode
• Action Space — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Amortization — 1× in this paper · explained in 1 episode
• Archetype — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Causal Inference — 1× in this paper · explained in 4 episodes
• Curse of Dimensionality — 1× in this paper · explained in 6 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Mahalanobis Data Manifold Distance — 1× in this paper
• Pruning — 1× in this paper · explained in 4 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Structural Reasoning — 1× in this paper · explained in 2 episodes
• Topological Order — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• Personalized Algorithmic Recourse with Preference Elicitation
• Inverse Classification for Comparison-based Interpretability in Machine Learning
• CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms

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