Sotabase

Career

· Postdoctoral Researcher, Stanford University2023–
· Postdoctoral Scholar, Biomedical Data Sciences, Stanford University2023–
· PhD in Computer Science, Washington State University2018–2023
· M.Sc. in Electrical Engineering, University of Idaho2017–2018
· Engineering degree in Information Technology and Telecommunication, Higher School of Communication of Tunis

Publications (73)

Max-value Entropy Search for Multi-Objective Bayesian Optimization
Neural Information Processing Systems · 2020
153
cited
Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization
AAAI Conference on Artificial Intelligence · 2020
103
cited
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach
AAAI Conference on Artificial Intelligence · 2020
46
cited
Bayesian Optimization over Hybrid Spaces
International Conference on Machine Learning · 2021
41
cited
Mercer Features for Efficient Combinatorial Bayesian Optimization
AAAI Conference on Artificial Intelligence · 2020
38
cited
Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise
2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD) · 2021
37
cited
Optimal Cloud-Based Routing With In-Route Charging of Mobility-on-Demand Electric Vehicles
IEEE transactions on intelligent transportation systems (Print) · 2019
36
cited
Design and Optimization of Energy-Accuracy Tradeoff Networks for Mobile Platforms via Pretrained Deep Models
ACM Transactions on Embedded Computing Systems · 2020
28
cited
Bayesian Optimization over Permutation Spaces
AAAI Conference on Artificial Intelligence · 2021
26
cited
Joint Delay and Cost Optimization of In-Route Charging for On-Demand Electric Vehicles
IEEE Transactions on Intelligent Vehicles · 2020
25
cited
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework
AAAI Conference on Artificial Intelligence · 2020
23
cited
Design of Multi-Output Switched-Capacitor Voltage Regulator via Machine Learning
Design, Automation and Test in Europe · 2020
18
cited
Machine Learning Enabled Fast Multi-Objective Optimization for Electrified Aviation Power System Design
European Conference on Cognitive Ergonomics · 2020
18
cited
Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization
Journal of Artificial Intelligence Research · 2021
18
cited
Scalable Combinatorial Bayesian Optimization with Tractable Statistical models
arXiv.org · 2020
14
cited
Fog-Based Multi-Class Dispatching and Charging for Autonomous Electric Mobility On-Demand
IEEE transactions on intelligent transportation systems (Print) · 2020
13
cited
Multi-Class Management With Sub-Class Service for Autonomous Electric Mobility On-Demand Systems
IEEE Transactions on Vehicular Technology · 2018
11
cited
Preference-Aware Constrained Multi-Objective Bayesian Optimization
COMAD/CODS · 2023
11
cited
Learning Pareto-Frontier Resource Management Policies for Heterogeneous SoCs: An Information-Theoretic Approach
Design Automation Conference · 2021
10
cited
Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach
International Conference on Artificial Intelligence and Statistics · 2022
9
cited
Sotabase