Michael McCourt

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 21

Top Topics

Multiobjective Optimization Problems

Optimization Methods

Top Venues

SIAM J. Matrix Anal. Appl.

Publications

Eric Hans Lee, Bolong Cheng, Michael McCourt
Achieving Diversity in Objective Space for Sample-efficient Search of Multiobjective Optimization Problems. CoRR (2023)
Eric Hans Lee, Bolong Cheng, Michael McCourt
Achieving Diversity in Objective Space for Sample-Efficient Search of Multiobjective Optimization Problems. WSC (2022)
Junpei Komiyama, Gustavo Malkomes, Bolong Cheng, Michael McCourt
Bridging Offline and Online Experimentation: Constraint Active Search for Deployed Performance Optimization. Trans. Mach. Learn. Res. 2022 (2022)
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)
Jungtaek Kim, Michael McCourt, Tackgeun You, Saehoon Kim, Seungjin Choi
Bayesian optimization with approximate set kernels. Mach. Learn. 110 (5) (2021)
Sung Nok Chiu, Leevan Ling, Michael McCourt
On variable and random shape Gaussian interpolations. Appl. Math. Comput. 377 (2020)
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)
Eric Hans Lee, David Eriksson, Bolong Cheng, Michael McCourt, David Bindel
Efficient Rollout Strategies for Bayesian Optimization. CoRR (2020)
Michael McCourt, Ian Dewancker
Sampling Humans for Optimizing Preferences in Coloring Artwork. CoRR (2019)
Jungtaek Kim, Michael McCourt, Tackgeun You, Saehoon Kim, Seungjin Choi
Bayesian Optimization over Sets. CoRR (2019)
Ruben Martinez-Cantin, Kevin Tee, Michael McCourt
Practical Bayesian optimization in the presence of outliers. AISTATS (2018)
Alexandra Johnson, Michael McCourt
Orchestrate: Infrastructure for Enabling Parallelism during Hyperparameter Optimization. CoRR (2018)
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)
Ruben Martinez-Cantin, Kevin Tee, Michael McCourt
Practical Bayesian optimization in the presence of outliers. CoRR (2017)
Ruben Martinez-Cantin, Michael McCourt, Kevin Tee
Robust Bayesian Optimization with Student-t Likelihood. 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)
Michael McCourt, Barry Smith, Hong Zhang
Sparse Matrix-Matrix Products Executed Through Coloring. SIAM J. Matrix Anal. Appl. 36 (1) (2015)
David E. Keyes, Lois C. McInnes, Carol S. Woodward, William Gropp, Eric Myra, Michael Pernice, John 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 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, Béatrice Rivière, 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
Multiphysics simulations: Challenges and opportunities. Int. J. High Perform. Comput. Appl. 27 (1) (2013)