Bayesian Optimization of Risk Measures S Cakmak, R Astudillo Marban, P Frazier, E Zhou Advances in Neural Information Processing Systems 33, 2020 | 59 | 2020 |
Robust multi-objective bayesian optimization under input noise S Daulton, S Cakmak, M Balandat, MA Osborne, E Zhou, E Bakshy International Conference on Machine Learning, 4831-4866, 2022 | 34 | 2022 |
Contextual ranking and selection with gaussian processes S Cakmak, E Zhou, S Gao 2021 Winter Simulation Conference (WSC), 1-12, 2021 | 12 | 2021 |
Solving Bayesian risk optimization via nested stochastic gradient estimation S Cakmak, D Wu, E Zhou IISE Transactions, 1-13, 2021 | 12 | 2021 |
Contextual Ranking and Selection with Gaussian Processes and Optimal Computing Budget Allocation S Cakmak, Y Wang, S Gao, E Zhou ACM Transactions on Modeling and Computer Simulation 34 (2), 1-24, 2024 | 1 | 2024 |
Simulation optimization in the presence of environmental variables S Cakmak Georgia Institute of Technology, 2022 | | 2022 |
Sample-Efficient Bayesian Optimization with Transfer Learning for Heterogeneous Search Spaces A Deshwal, S Cakmak, Y Xia, D Eriksson AutoML Conference 2024 (Workshop Track), 0 | | |