Ian Dewancker

Publication Activity (10 Years)

Years Active: 2016-2019
Publications (10 Years): 8

Top Topics

Optimization Method

Monte Carlo Sampling

Ordinal Regression

Top Venues

Publications

Michael McCourt, Ian Dewancker
Sampling Humans for Optimizing Preferences in Coloring Artwork. CoRR (2019)
Ian Dewancker, Jakob Bauer, Michael McCourt
Sequential Preference-Based Optimization. CoRR (2018)
Kevin Tee, Michael McCourt, Ruben Martinez-Cantin, Ian Dewancker, Frank Liu
Active Preference Learning for Personalized Portfolio Construction. CoRR (2017)
Ian Dewancker, Michael McCourt, Scott Clark, Patrick Hayes, Alexandra Johnson, George Ke
A Strategy for Ranking Optimization Methods using Multiple Criteria. AutoML@ICML (2016)
Ian Dewancker, Michael McCourt, Scott Clark
Bayesian Optimization for Machine Learning : A Practical Guidebook. CoRR (2016)
Michael McCourt, Ian Dewancker, Salvatore Ganci
Preemptive Termination of Suggestions during Sequential Kriging Optimization of a Brain Activity Reconstruction Simulation. CoRR (2016)
Ian Dewancker, Michael McCourt, Scott Clark, Patrick Hayes, Alexandra Johnson, George Ke
Evaluation System for a Bayesian Optimization Service. CoRR (2016)
Ian Dewancker, Michael McCourt, Scott Clark, Patrick Hayes, Alexandra Johnson, George Ke
A Stratified Analysis of Bayesian Optimization Methods. CoRR (2016)