
This paper introduces a novel optimization framework for deriving tight performance guarantees for prophet inequalities, eliminating the traditional need for constructing specific counterexamples.


coremsg

a-novel-optimization-approach-for-deriving-tight-prophet-inequalities-without-constructing-counterexamples


A Novel Optimization Approach for Deriving Tight Prophet Inequalities Without Constructing Counterexamples


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This paper investigates the IID Prophet Inequality problem with a random horizon, focusing on designing optimal stopping strategies that go beyond the limitations of previous work, which primarily focused on increasing hazard rate distributions.


optimal-stopping-strategies-for-iid-prophet-inequalities-with-random-possibly-unbounded-horizons


Optimal Stopping Strategies for IID Prophet Inequalities with Random, Possibly Unbounded Horizons



Developing a versatile greedy-based technique for Single-Sample Prophet Inequalities directly, improving competitive guarantees.


single-sample-prophet-inequalities-via-greedy-ordered-selection-algorithm-and-analysis


Single-Sample Prophet Inequalities via Greedy-Ordered Selection: Algorithm and Analysis
