Sait Cakmak

According to our database, Sait Cakmak authored at least 7 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Ax: A Platform for Adaptive Experimentation.

Miles Olson, Elizabeth Santorella, Louis C. Tiao, Sait Cakmak, Mia Garrard, Samuel Daulton, Zhiyuan Jerry Lin, Sebastian Ament, Bernard Beckerman, Eric Onofrey, Paschal Igusti, Cristian Lara, Benjamin Letham, Cesar Cardoso, Shiyun Sunny Shen, Andy Chenyuan Lin, Matthew Grange, Elena Kashtelyan, David Eriksson, Maximilian Balandat, Eytan Bakshy

Proceedings of the International Conference on Automated Machine Learning (AutoML 2025), 2025

2024

Contextual Ranking and Selection with Gaussian Processes and Optimal Computing Budget Allocation.

Sait Cakmak, Yuhao Wang, Siyang Gao, Enlu Zhou

ACM Trans. Model. Comput. Simul., April, 2024

Sample-Efficient Bayesian Optimization with Transfer Learning for Heterogeneous Search Spaces.

Aryan Deshwal, Sait Cakmak, Yuhou Xia, David Eriksson

CoRR, 2024

2022

Robust Multi-Objective Bayesian Optimization Under Input Noise.

Samuel Daulton, Sait Cakmak, Maximilian Balandat, Michael A. Osborne, Enlu Zhou, Eytan Bakshy

Proceedings of the International Conference on Machine Learning, 2022

2021

Solving Bayesian risk optimization via nested stochastic gradient estimation.

Sait Cakmak, Di Wu, Enlu Zhou

IISE Trans., 2021

Contextual Ranking and Selection with Gaussian Processes.

Sait Cakmak, Enlu Zhou, Siyang Gao

Proceedings of the Winter Simulation Conference, 2021

2020

Bayesian Optimization of Risk Measures.

Sait Cakmak, Raul Astudillo, Peter I. Frazier, Enlu Zhou

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020