Ke-Thia Yao

2006–2018

A researcher in the Science corpus: 2 papers; trusts 0 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Whom Ke-Thia Yao trusts overall

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

1. Frank Hutter
2. Matthias Feurer

Who trusts Ke-Thia Yao overall

1. Marc-André Zöller
2. Richard A. Buswell
3. S. Paul

Papers from Ke-Thia Yao's perspective

Ordered by how strongly the researchers Ke-Thia Yao trusts endorse each paper. Same corpus, a different order for every researcher.

1. Scikit-learn: Machine Learning in Python
2. Efficient and Robust Automated Machine Learning
3. Sequential Model-Based Optimization for General Algorithm Configuration
4. Initializing Bayesian Hyperparameter Optimization via Meta-Learning
5. ImageNet classification with deep convolutional neural networks
6. Ensemble selection from libraries of models
7. Scalable Gaussian process-based transfer surrogates for hyperparameter optimization
8. Learning Multiple Layers of Features from Tiny Images
9. Metalearning: a survey of trends and technologies
10. Probabilistic Matrix Factorization for Automated Machine Learning

Their papers

• P4ML: A Phased Performance-Based Pipeline Planner for Automated Machine Learning (2018)
• Mega-scale fabrication by Contour Crafting (2006) — 370 citations