Ryan Turner

According to our database, Ryan Turner authored at least 9 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Dataset Factory: A Toolchain For Generative Computer Vision Datasets.

Daniel Kharitonov, Ryan Turner

CoRR, 2023

2020

Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020.

Ryan Turner, David Eriksson, Michael McCourt, Juha Kiili, Eero Laaksonen, Zhen Xu, Isabelle Guyon

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

2019

Scalable Global Optimization via Local Bayesian Optimization.

David Eriksson, Michael Pearce, Jacob R. Gardner, Ryan Turner, Matthias Poloczek

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

How well does your sampler really work?

Ryan Turner, Brady Neal

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

2017

Bayesian Hypernetworks.

David Krueger, Chin-Wei Huang, Riashat Islam, Ryan Turner, Alexandre Lacoste, Aaron C. Courville

CoRR, 2017

3^rd Harmonic current in a generator neutral earthing resistor connected to a large cable network.

Jason Mayer, Ryan Turner

Proceedings of the 2017 IEEE Industry Applications Society Annual Meeting, 2017

2016

A Model Explanation System: Latest Updates and Extensions.

Ryan Turner

CoRR, 2016

A model explanation system.

Ryan Turner

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Discovery and Exploration of Novel Swarm Behaviors Given Limited Robot Capabilities.

Daniel S. Brown, Ryan Turner, Oliver Hennigh, Steven Loscalzo

Proceedings of the Distributed Autonomous Robotic Systems, 2016