Daulton, S.*, Cakmak, S.*, Balandat, M., Osborne, M., Zhou, E. and Bakshy, E. (2022) "Robust Multi-Objective Bayesian Optimization under Input Noise". Accepted to ICML 2022. arXiv: 2202.07549
Cakmak, S., Gao, S. and Zhou, E. (2021) “Contextual Ranking and Selection with Gaussian Processes”. In Proceedings of the 2021 Winter Simulation Conference. Extended version is currently under review. arXiv: 2201.07782
Cakmak, S., Wu, D. and Zhou, E. (2021) “Solving Bayesian Risk Optimization via Nested Stochastic Gradient Estimation”. IISE Transactions. arXiv: 2007.05860
Cakmak, S., Astudillo, R., Frazier, P. and Zhou, E. (2020) “Bayesian Optimization of Risk Measures”. In Advances in Neural Information Processing Systems 33. arXiv: 2007.05554
* Equal Contribution.
"Contextual Ranking and Selection with Gaussian Processes", at Winter Simulation Conference, Dec 2021.
“Bayesian Optimization of Risk Measures”, at Informs Annual Meeting, Nov 2020.
“Bayesian Optimization of Risk Functions”, at ISyE Student Seminar, Georgia Tech, Feb 2020.
“Solving Bayesian Risk Optimization Via Nested Stochastic Derivative Estimation”, at Informs Annual Meeting, Seattle, WA, Oct 2019.