Generalized Sorting with Predictions
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Abstract (arXiv)
Generalized sorting problem, also known as sorting with forbidden comparisons, was first introduced by Huang et al. together with a randomized algorithm which requires tilde O(n3/2) probes. We study this problem with additional predictions for all pairs of allowed comparisons as input. We propose a randomized algorithm which uses O(n log n+w) probes with high probability and a deterministic algorithm which uses O(nw) probes, where w is the number of mistakes made by prediction.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 31 Oct 2020.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 2; 2024: 0; 2025: 1; 2026: 1.
5 papers.
- 2023Sorting with Predictionscited by 14
- 2021Double Coverage with Machine-Learned Advicecited by 10
- 2023Rethinking Warm-Starts with Predictions: Learning Predictions Close to Sets of Optimal Solutions for Faster L-/L^natural-Convex Function Minimizationcited by 3
- 2025Efficient Portfolio Selection through Preference Aggregation with Quicksort and the Bradley--Terry Modelcited by 0
- 2026Robust and Consistent Ski Rental with Distributional Advicecited by 0
- 2026Robust and Consistent Ski Rental with Distributional Advice31 Mar 2026
- 2025Efficient Portfolio Selection through Preference Aggregation with Quicksort and the Bradley--Terry Model6 Apr 2025
- 2023Sorting with Predictions1 Nov 2023
- 2023Rethinking Warm-Starts with Predictions: Learning Predictions Close to Sets of Optimal Solutions for Faster L-/L^natural-Convex Function Minimization2 Feb 2023
- 2021Double Coverage with Machine-Learned Advice2 Mar 2021