Behrang Shafei
6 papers · 2022–2025 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(15)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(6)
Optimization & Theory
(5)
Mathematics & Optimization
(4)
Bayesian & Probabilistic · Machine Learning
(4)
Optimization
(4)
Artificial Intelligence
(2)
Core AI
(2)
Reinforcement Learning
(1)
Applications
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Core Methods
(1)
Learning Types
(1)
Keywords
bayesian optimization
(6)
acquisition function
(3)
gaussian process
(3)
black-box optimization
(3)
markov decision process
(1)
optimal control
(1)
value iteration
(1)
sequential optimization
(1)
asynchronous optimization
(1)
multi-objective optimization
(1)
tree ensemble
(1)
regret bound
(1)
black-box function
(1)
information gain
(1)
transition constraint
(1)
multi-objective bayesian optimization
(1)
tree kernel
(1)
design of experiment
(1)
self-driving laboratory
(1)
piecewise constant function
(1)
Papers
BARK: A Fully Bayesian Tree Kernel for Black-box Optimization
ICML 2025
BoFire: Bayesian Optimization Framework Intended for Real Experiments
JMLR 2025
Transition Constrained Bayesian Optimization via Markov Decision Processes
NeurIPS 2024
Joint Entropy Search for Multi-Objective Bayesian Optimization
NeurIPS 2022
SnAKe: Bayesian Optimization with Pathwise Exploration
NeurIPS 2022
Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces
NeurIPS 2022