Chris Fawcett

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Computer Networks and Communications — 7 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Chris Fawcett trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Frank Hutter
2. Holger H. Hoos
3. Kevin Leyton-Brown
4. Lin Xu

Papers from Chris Fawcett's perspective

Ordered by how strongly the researchers Chris Fawcett trusts endorse each paper. Same corpus, a different order for every researcher.

1. Random Forests
2. Sequential Model-Based Optimization for General Algorithm Configuration
3. ParamILS: An Automatic Algorithm Configuration Framework
4. ISAC - Instance-Specific Algorithm Configuration
5. Identifying Key Algorithm Parameters and Instance Features Using Forward Selection
6. A Racing Algorithm for Configuring Metaheuristics
7. Efficient Benchmarking of Hyperparameter Optimizers via Surrogates
8. Algorithm Runtime Prediction: Methods and Evaluation (Extended Abstract)
9. The irace package: Iterated racing for automatic algorithm configuration
10. Conflict-driven answer set solving: From theory to practice (Artificial Intelligence)

Their papers

• Efficient Parameter Importance Analysis via Ablation with Surrogates (2017) — 59 citations