Ryan Turner

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 11

Top Topics

Metropolis Hastings

Global Optimization

Top Venues

Publications

Daniel Kharitonov, Ryan Turner
Dataset Factory: A Toolchain For Generative Computer Vision Datasets. CoRR (2023)
Ryan Turner, David Eriksson, Michael McCourt, Juha Kiili, Eero Laaksonen, Zhen Xu, Isabelle Guyon
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020. CoRR (2021)
Ryan Turner, David Eriksson, Michael McCourt, Juha Kiili, Eero Laaksonen, Zhen Xu, Isabelle Guyon
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020. NeurIPS (Competition and Demos) (2020)
David Eriksson, Michael Pearce, Jacob R. Gardner, Ryan Turner, Matthias Poloczek
Scalable Global Optimization via Local Bayesian Optimization. CoRR (2019)
David Eriksson, Michael Pearce, Jacob R. Gardner, Ryan Turner, Matthias Poloczek
Scalable Global Optimization via Local Bayesian Optimization. NeurIPS (2019)
Ryan Turner, Brady Neal
How well does your sampler really work? UAI (2018)
David Krueger, Chin-Wei Huang, Riashat Islam, Ryan Turner, Alexandre Lacoste, Aaron C. Courville
Bayesian Hypernetworks. CoRR (2017)
Jason Mayer, Ryan Turner
Harmonic current in a generator neutral earthing resistor connected to a large cable network. IAS (2017)
Daniel S. Brown, Ryan Turner, Oliver Hennigh, Steven Loscalzo
Discovery and Exploration of Novel Swarm Behaviors Given Limited Robot Capabilities. DARS (2016)
Ryan Turner
A model explanation system. MLSP (2016)
Ryan Turner
A Model Explanation System: Latest Updates and Extensions. CoRR (2016)