Sequential Additivity in Distributionally Robust Ranking and Selection

arXiv:2509.06147 · stat.ML, cs.LG, stat.ME · Submitted 2025-09-07 · Read on arXiv

stat.ML, cs.LG, stat.ME

Submitted: 2025-09-07

Updated: 2026-08-27

Comments: Our results lead to a new class of efficient DRR&S procedures and may deepen the structural understanding of robust R&S under input uncertainty

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

Terminology

• Consistency — 57× in this paper · explained in 3 episodes
• Additivity — 29× in this paper · explained in 1 episode
• Additive Allocation — 23× in this paper
• General Additive Allocation — 8× in this paper
• Adaptive Sampling — 3× in this paper · explained in 1 episode
• Core — 3× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Theoretical Guarantees — 2× in this paper · explained in 2 episodes
• Uncertainty Quantification — 2× in this paper · explained in 8 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Winter Simulations Conference — 1× in this paper

Sources

• Analyzing and provably improving fixed budget ranking and selection algorithms
• Efficient Budget Allocation for Large-Scale LLM-Enabled Virtual Screening

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