Strategic Feature Selection

arXiv:2606.18867 · cs.LG, cs.CY, stat.ML · Submitted 2026-06-17 · Read on arXiv

Jivat Neet Kaur, Pratik Patil, Divya Shanmugam, Emma Pierson, Michael I. Jordan, Nika Haghtalab, Meena Jagadeesan, Ahmed Alaa, Serena Wang

cs.LG, cs.CY, stat.ML

Submitted: 2026-06-17

Code: https://github.com/jivatneet/strategic-feature-selection

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

Terminology

• Regularization — 77× in this paper · explained in 3 episodes
• Feature Selection — 39× in this paper · explained in 4 episodes
• Benchmark — 23× in this paper · explained in 2 episodes
• Medicare Advantage — 15× in this paper
• Robustness — 12× in this paper · explained in 6 episodes
• Calibration — 10× in this paper · explained in 9 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Monotonicity — 3× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Expressivity — 2× in this paper · explained in 2 episodes
• Homogeneity — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 3 episodes
• Adversarial Robustness — 1× in this paper · explained in 4 episodes
• Composition — 1× in this paper · explained in 2 episodes
• EMMA — 1× in this paper · explained in 2 episodes
• Lasso — 1× in this paper · explained in 2 episodes
• Papers — 1× in this paper · explained in 3 episodes
• Performance Gap — 1× in this paper · explained in 2 episodes
• Phase Transition — 1× in this paper · explained in 3 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Time-to-Event Estimation with Unreliably Reported Events in Medicare Health Plan Payment
• Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality

Related papers

• Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
• AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
• Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
• Convergence issues in Relational Concept Analysis based on AOC-posets
• Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks