algorithm selection

Efficient Automatic CASH via Rising Bandits AAAI 2020 Learning to Link ICLR 2020 Opening the Black Box: Automatically Characterizing Software for Algorithm Selection (Student Abstract) AAAI 2020 Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis ACML 2020 Automated Machine Learning with Monte-Carlo Tree Search IJCAI 2019 Automatic Construction of Parallel Portfolios via Explicit Instance Grouping AAAI 2019 Cascaded Algorithm-Selection and Hyper-Parameter Optimization with Extreme-Region Upper Confidence Bound Bandit IJCAI 2019 On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation AAAI 2019 The Parameterized Complexity of Cascading Portfolio Scheduling NeurIPS 2019 Algorithms or Actions? A Study in Large-Scale Reinforcement Learning IJCAI 2018 Data-Driven Clustering via Parameterized Lloyd's Families NeurIPS 2018 Learning to Branch ICML 2018 Learning To Learn Around A Common Mean NeurIPS 2018 Neural Networks for Predicting Algorithm Runtime Distributions IJCAI 2018 Reinforcement Learning Algorithm Selection ICLR 2018 AutoFolio: An Automatically Configured Algorithm Selector (Extended Abstract) IJCAI 2017 Effect of Incomplete Meta-dataset on Average Ranking Method AutoML 2016 Algorithm selection by rational metareasoning as a model of human strategy selection NeurIPS 2014 Towards Property-Based Classification of Clustering Paradigms NeurIPS 2010