Shafei, Behrang

8 publications

ICML 2025 BARK: A Fully Bayesian Tree Kernel for Black-Box Optimization Toby Boyne, Jose Pablo Folch, Robert Matthew Lee, Behrang Shafei, Ruth Misener

MLOSS 2025 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, Chrysoula Kappatou, Robert M. Lee, Dominik Linzner, Wagner Steuer Costa, David Walz, Niklas Wulkow, Behrang Shafei

TMLR 2025 System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization Jixiang Qing, Rebecca D. Langdon, Robert Matthew Lee, Behrang Shafei, Mark van der Wilk, Calvin Tsay, Ruth Misener

NeurIPS 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

NeurIPSW 2023 Practical Path-Based Bayesian Optimization Jose Pablo Folch, James A C Odgers, Shiqiang Zhang, Robert Matthew Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener

NeurIPS 2022 Joint Entropy Search for Multi-Objective Bayesian Optimization Ben Tu, Axel Gandy, Nikolas Kantas, Behrang Shafei

NeurIPS 2022 SnAKe: Bayesian Optimization with Pathwise Exploration Jose Pablo Folch, Shiqiang Zhang, Robert Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener

NeurIPS 2022 Tree Ensemble Kernels for Bayesian Optimization with Known Constraints over Mixed-Feature Spaces Alexander Thebelt, Calvin Tsay, Robert Lee, Nathan Sudermann-Merx, David Walz, Behrang Shafei, Ruth Misener