Identifiable Convex-Concave Regression via Sub-gradient Regularised Least Squares

arXiv:2506.18078 · stat.ML, cs.LG, math.ST, stat.AP, stat.TH · Submitted 2025-06-22 · Read on arXiv

stat.ML, cs.LG, math.ST, stat.AP, stat.TH

Submitted: 2025-06-22

Updated: 2026-09-27

Terminology

• Regularization — 63× in this paper · explained in 3 episodes
• Accuracy — 12× in this paper · explained in 1 episode
• Sparsity — 11× in this paper · explained in 4 episodes
• Interpretability — 10× in this paper · explained in 15 episodes
• Convex Nonparametric Least Squares — 7× in this paper
• Benchmarking — 5× in this paper · explained in 3 episodes
• Generalization — 5× in this paper · explained in 13 episodes
• Consistency — 4× in this paper · explained in 3 episodes
• Structural Constraints — 4× in this paper · explained in 2 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Generalization Bounds — 2× in this paper · explained in 2 episodes
• Objective Function — 2× in this paper · explained in 2 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Core — 1× in this paper · explained in 2 episodes
• Energy Efficiency — 1× in this paper · explained in 3 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Identifiable Convex-Concave Nonparametric Least Squares — 1× in this paper
• Monotonic Nonparametric Least Squares — 1× in this paper
• Parsimony — 1× in this paper · explained in 2 episodes
• Redundancy — 1× in this paper · explained in 2 episodes

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