Behrang Shafei

According to our database, Behrang Shafei authored at least 17 papers between 2012 and 2024.

Collaborative distances:

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

2024

Dependence in constrained Bayesian optimization.

Shiqiang Zhang, Robert M. Lee, Behrang Shafei, David Walz, Ruth Misener

Optim. Lett., July, 2024

BoFire: Bayesian Optimization Framework Intended for Real Experiments.

Johannes P. Dürholt, Thomas S. Asche, Johanna Kleinekorte, Gabriel Mancino-Ball, Benjamin Schiller, Simon Sung, Julian Keupp, Aaron Osburg, Toby Boyne, Ruth Misener, Rosona Eldred, Wagner Steuer Costa, Chrysoula Kappatou, Robert M. Lee, Dominik Linzner, David Walz, Niklas Wulkow, Behrang Shafei

CoRR, 2024

System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization.

Jixiang Qing, Becky D. Langdon, Robert M. Lee, Behrang Shafei, Mark van der Wilk, Calvin Tsay, Ruth Misener

CoRR, 2024

Scalarisation-based risk concepts for robust multi-objective optimisation.

Ben Tu, Nikolas Kantas, Robert M. Lee, Behrang Shafei

CoRR, 2024

Random Pareto front surfaces.

Ben Tu, Nikolas Kantas, Robert M. Lee, Behrang Shafei

CoRR, 2024

Transition Constrained Bayesian Optimization via Markov Decision Processes.

Jose Pablo Folch, Calvin Tsay, Robert M. Lee, Behrang Shafei, Weronika Ormaniec, Andreas Krause, Mark van der Wilk, Ruth Misener, Mojmír Mutný

CoRR, 2024

2023

Combining multi-fidelity modelling and asynchronous batch Bayesian Optimization.

Jose Pablo Folch, Robert M. Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener

Comput. Chem. Eng., April, 2023

Practical Path-based Bayesian Optimization.

Jose Pablo Folch, James Odgers, Shiqiang Zhang, Robert M. Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener

CoRR, 2023

Multi-Objective Optimization Using the R2 Utility.

Ben Tu, Nikolas Kantas, Robert M. Lee, Behrang Shafei

CoRR, 2023

2022

Joint Entropy Search for Multi-Objective Bayesian Optimization.

Ben Tu, Axel Gandy, Nikolas Kantas, Behrang Shafei

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces.

Alexander Thebelt, Calvin Tsay, Robert M. Lee, Nathan Sudermann-Merx, David Walz, Behrang Shafei, Ruth Misener

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SnAKe: Bayesian Optimization with Pathwise Exploration.

Jose Pablo Folch, Shiqiang Zhang, Robert M. Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2014

Supervised and transductive multi-class segmentation using p-Laplacians and RKHS methods.

Sung Ha Kang, Behrang Shafei, Gabriele Steidl

J. Vis. Commun. Image Represent., 2014

2013

Multi-class image segmentation via convex and biconvex optimization.

Behrang Shafei

PhD thesis, 2013

Homogeneous Penalizers and Constraints in Convex Image Restoration.

René Ciak, Behrang Shafei, Gabriele Steidl

J. Math. Imaging Vis., 2013

2012

A new fuzzy c-means method with total variation regularization for segmentation of images with noisy and incomplete data.

Yanyan He, M. Yousuff Hussaini, Jianwei Ma, Behrang Shafei, Gabriele Steidl

Pattern Recognit., 2012

Segmentation of images with separating layers by fuzzy c-means and convex optimization.

Behrang Shafei, Gabriele Steidl

J. Vis. Commun. Image Represent., 2012