Learning Risk Scores Robust to Unobserved Confounders

arXiv:2609.27144 · cs.LG · Submitted 2026-09-22 · Read on arXiv

cs.LG

Submitted: 2026-09-22

Updated: 2026-09-22

Terminology

• Consistency — 11× in this paper · explained in 3 episodes
• Wasserstein Distance — 10× in this paper · explained in 4 episodes
• Benchmark — 8× in this paper · explained in 2 episodes
• Calibration — 8× in this paper · explained in 7 episodes
• Causal Inference — 5× in this paper · explained in 4 episodes
• Robustness — 5× in this paper · explained in 5 episodes
• Covariate Shift — 4× in this paper · explained in 2 episodes
• Sparsity — 4× in this paper · explained in 4 episodes
• Exchangeability — 3× in this paper · explained in 2 episodes
• Objective Function — 3× in this paper · explained in 2 episodes
• Regret — 2× in this paper · explained in 3 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Doubly Robust2 — 1× in this paper
• Interpretability — 1× in this paper · explained in 15 episodes
• Minimax Regret — 1× in this paper · explained in 2 episodes
• Optimal Transport — 1× in this paper · explained in 5 episodes
• Selection Bias — 1× in this paper · explained in 4 episodes

Sources

• Distributionally Robust Causal Inference with Observational Data
• Robust Covariate Shift Prediction with General Losses and Feature Views
• Enhanced Marginal Sensitivity Model and Bounds

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