Ian Dewancker

According to our database, Ian Dewancker authored at least 8 papers between 2016 and 2019.

Collaborative distances:

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

2019

Sampling Humans for Optimizing Preferences in Coloring Artwork.

Michael McCourt, Ian Dewancker

CoRR, 2019

2018

Sequential Preference-Based Optimization.

Ian Dewancker, Jakob Bauer, Michael McCourt

CoRR, 2018

2017

Active Preference Learning for Personalized Portfolio Construction.

Kevin Tee, Michael McCourt, Ruben Martinez-Cantin, Ian Dewancker, Frank Liu

CoRR, 2017

2016

Preemptive Termination of Suggestions during Sequential Kriging Optimization of a Brain Activity Reconstruction Simulation.

Michael McCourt, Ian Dewancker, Salvatore Ganci

CoRR, 2016

Evaluation System for a Bayesian Optimization Service.

Ian Dewancker, Michael McCourt, Scott Clark, Patrick Hayes, Alexandra Johnson, George Ke

CoRR, 2016

A Stratified Analysis of Bayesian Optimization Methods.

Ian Dewancker, Michael McCourt, Scott Clark, Patrick Hayes, Alexandra Johnson, George Ke

CoRR, 2016

Bayesian Optimization for Machine Learning : A Practical Guidebook.

Ian Dewancker, Michael McCourt, Scott Clark

CoRR, 2016

A Strategy for Ranking Optimization Methods using Multiple Criteria.

Ian Dewancker, Michael McCourt, Scott Clark, Patrick Hayes, Alexandra Johnson, George Ke

Proceedings of the 2016 Workshop on Automatic Machine Learning, 2016