Sample-Efficient "Clustering and Conquer" Procedures for Parallel Large-Scale Ranking and Selection

arXiv:2402.02196 · stat.ME, cs.LG · Submitted 2024-02-03 · Read on arXiv

stat.ME, cs.LG

Submitted: 2024-02-03

Updated: 2026-10-08

Terminology

• Clustering — 5× in this paper · explained in 2 episodes
• Sample Complexity — 2× in this paper · explained in 17 episodes
• Sample Efficiency — 2× in this paper · explained in 4 episodes
• Benchmark — 1× in this paper · explained in 2 episodes

Related papers

• Doubly robust inference via calibration
• Bayesian Empirical Bayes: Simultaneous Inference from Probabilistic Symmetries
• Flexible Nonparametric Inference for Causal Effects under the Front-Door Model
• Deployment of AI-Assisted Interventions: Capacity Constraints and Noisy Compliance
• A Survey on Archetypal Analysis
• Dynamic Spatial Bayesian Machine Learning Model: Applications to Intergenerational Economic Mobility and Geographic Income Inequality in the United States