Setareh Ariafar

According to our database, Setareh Ariafar authored at least 5 papers between 2015 and 2022.

Collaborative distances:

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

2022

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

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Faster & More Reliable Tuning of Neural Networks: Bayesian Optimization with Importance Sampling.

Setareh Ariafar, Zelda Mariet, Dana H. Brooks, Jennifer G. Dy, Jasper Snoek

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

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

2019

ADMMBO: Bayesian Optimization with Unknown Constraints using ADMM.

Setareh Ariafar, Jaume Coll-Font, Dana H. Brooks, Jennifer G. Dy

J. Mach. Learn. Res., 2019

2015

Sensing and classifying roadway obstacles: The street bump anomaly detection and decision support system.

Theodora S. Brisimi, Setareh Ariafar, Yue Zhang, Christos G. Cassandras, Ioannis Ch. Paschalidis

Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015