Run2Survive: A Decision-theoretic Approach to Algorithm Selection based
on Survival Analysis

Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis

6 July 2020

Alexander Tornede

Eyke Hüllermeier

Papers citing "Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis"

5 / 5 papers shown

Title
HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection Lukas Fehring Jonas Hanselle Alexander Tornede 21 5 0 31 Oct 2022
Formalizing Preferences Over Runtime Distributions Devon R. Graham Kevin Leyton-Brown Tim Roughgarden 16 5 0 25 May 2022
A Survey of Methods for Automated Algorithm Configuration Elias Schede Jasmin Brandt Alexander Tornede Marcel Wever Viktor Bengs Eyke Hüllermeier Kevin Tierney 36 48 0 03 Feb 2022
Machine Learning for Online Algorithm Selection under Censored Feedback Alexander Tornede Viktor Bengs Eyke Hüllermeier 44 3 0 13 Sep 2021
Extreme Algorithm Selection With Dyadic Feature Representation Alexander Tornede Marcel Wever Eyke Hüllermeier 24 22 0 29 Jan 2020