Michael McCourt

23 papers A 1Misc 1Journal 19Unranked 2
YearRankTypeTitle / Venue / Authors
2023 J jnl
Achieving Diversity in Objective Space for Sample-efficient Search of Multiobjective Optimization Problems.
CoRR
Eric Hans Lee, Bolong Cheng, Michael McCourt
2022 Misc conf
Achieving Diversity in Objective Space for Sample-Efficient Search of Multiobjective Optimization Problems.
WSC
Eric Hans Lee, Bolong Cheng, Michael McCourt
2022 J jnl
Bridging Offline and Online Experimentation: Constraint Active Search for Deployed Performance Optimization.
Trans. Mach. Learn. Res.
Junpei Komiyama, Gustavo Malkomes, Bolong Cheng, Michael McCourt
2021 J jnl
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020.
CoRR
Ryan Turner, David Eriksson, Michael McCourt, Juha Kiili, Eero Laaksonen, Zhen Xu, Isabelle Guyon
2021 J jnl
Bayesian optimization with approximate set kernels.
Mach. Learn.
Jungtaek Kim, Michael McCourt, Tackgeun You, Saehoon Kim, Seungjin Choi
2020 — conf
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020.
NeurIPS (Competition and Demos)
Ryan Turner, David Eriksson, Michael McCourt, Juha Kiili, Eero Laaksonen, Zhen Xu, Isabelle Guyon
2020 J jnl
Efficient Rollout Strategies for Bayesian Optimization.
CoRR
Eric Hans Lee, David Eriksson, Bolong Cheng, Michael McCourt, David Bindel
2020 J jnl
On variable and random shape Gaussian interpolations.
Appl. Math. Comput.
Sung Nok Chiu, Leevan Ling, Michael McCourt
2019 J jnl
Bayesian Optimization over Sets.
CoRR
Jungtaek Kim, Michael McCourt, Tackgeun You, Saehoon Kim, Seungjin Choi
2019 J jnl
Sampling Humans for Optimizing Preferences in Coloring Artwork.
CoRR
Michael McCourt, Ian Dewancker
2018 J jnl
Orchestrate: Infrastructure for Enabling Parallelism during Hyperparameter Optimization.
CoRR
Alexandra Johnson, Michael McCourt
2018 A conf
Practical Bayesian optimization in the presence of outliers.
AISTATS
Ruben Martinez-Cantin, Kevin Tee, Michael McCourt
2018 J jnl
Sequential Preference-Based Optimization.
CoRR
Ian Dewancker, Jakob Bauer, Michael McCourt
2017 J jnl
Active Preference Learning for Personalized Portfolio Construction.
CoRR
Kevin Tee, Michael McCourt, Ruben Martinez-Cantin, Ian Dewancker, Frank Liu
2017 J jnl
Practical Bayesian optimization in the presence of outliers.
CoRR
Ruben Martinez-Cantin, Kevin Tee, Michael McCourt
2017 J jnl
Robust Bayesian Optimization with Student-t Likelihood.
CoRR
Ruben Martinez-Cantin, Michael McCourt, Kevin Tee
2016 — conf
A Strategy for Ranking Optimization Methods using Multiple Criteria.
AutoML@ICML
Ian Dewancker, Michael McCourt, Scott Clark, Patrick Hayes, Alexandra Johnson, George Ke
2016 J jnl
A Stratified Analysis of Bayesian Optimization Methods.
CoRR
Ian Dewancker, Michael McCourt, Scott Clark, Patrick Hayes, Alexandra Johnson, George Ke
2016 J jnl
Bayesian Optimization for Machine Learning : A Practical Guidebook.
CoRR
Ian Dewancker, Michael McCourt, Scott Clark
2016 J jnl
Evaluation System for a Bayesian Optimization Service.
CoRR
Ian Dewancker, Michael McCourt, Scott Clark, Patrick Hayes, Alexandra Johnson, George Ke
2016 J jnl
Preemptive Termination of Suggestions during Sequential Kriging Optimization of a Brain Activity Reconstruction Simulation.
CoRR
Michael McCourt, Ian Dewancker, Salvatore Ganci
2015 J jnl
Sparse Matrix-Matrix Products Executed Through Coloring.
SIAM J. Matrix Anal. Appl.
Michael McCourt, Barry Smith, Hong Zhang
2013 J jnl
Multiphysics simulations: Challenges and opportunities.
Int. J. High Perform. Comput. Appl.
David E. Keyes, Lois C. McInnes, Carol S. Woodward, William Gropp, Eric Myra, Michael Pernice, John B. Bell, Jed Brown, Alain Clo, Jeffrey M. Connors, Emil M. Constantinescu, Donald J. Estep, Kate Evans, Charbel Farhat, Ammar Hakim, Glenn Hammond, Glen Hansen, Judith C. Hill, Tobin Isaac, Xiangmin Jiao, Kirk E. Jordan, Dinesh K. Kaushik, Efthimios Kaxiras, Alice E. Koniges, Kihwan Lee, Aaron Lott, Qiming Lu, John Magerlein, Reed Maxwell, Michael McCourt, Miriam Mehl, Roger P. Pawlowski, Amanda Peters Randles, Daniel R. Reynolds, Beatrice Riviere, Ulrich Rüde, Timothy D. Scheibe, John N. Shadid, Brendan Sheehan, Mark S. Shephard, Andrew R. Siegel, Barry Smith, Xianzhu Tang, Cian Wilson, Barbara I. Wohlmuth