Sensing and classifying roadway obstacles: The street bump anomaly detection and decision support system. - Theodora S. Brisimi; Setareh Ariafar; Yue Zhang 019; Christos G. Cassandras; Ioannis Ch. Paschalidis (CASE, 2015)

ADMMBO: Bayesian Optimization with Unknown Constraints using ADMM. - Setareh Ariafar; Jaume Coll-Font; Dana H. Brooks; Jennifer G. Dy (J. Mach. Learn. Res., 2019)

Weighting Is Worth the Wait: Bayesian Optimization with Importance Sampling. - Setareh Ariafar; Zelda Mariet; Ehsan Elhamifar; Dana H. Brooks; Jennifer G. Dy; Jasper Snoek (CoRR, 2020)

Faster & More Reliable Tuning of Neural Networks: Bayesian Optimization with Importance Sampling. - Setareh Ariafar; Zelda Mariet; Dana H. Brooks; Jennifer G. Dy; Jasper Snoek (AISTATS, 2021)

Predicting the utility of search spaces for black-box optimization: a simple, budget-aware approach. - Setareh Ariafar; Justin Gilmer; Zachary Nado; Jasper Snoek; Rodolphe Jenatton; George E. Dahl (AISTATS, 2022)

The Vizier Gaussian Process Bandit Algorithm. - Xingyou Song; Qiuyi Zhang 001; Chansoo Lee; Emily Fertig; Tzu-Kuo Huang; Lior Belenki; Greg Kochanski; Setareh Ariafar; Srinivas Vasudevan; Sagi Perel; Daniel Golovin (CoRR, 2024)