Syrine Belakaria
Orcid: 0000-0002-0761-0886
According to our database1,
Syrine Belakaria
authored at least 31 papers
between 2017 and 2024.
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Bibliography
2024
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes.
CoRR, 2024
Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024
Preference-Aware Constrained Multi-Objective Bayesian Optimization (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
J. Artif. Intell. Res., 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021
Learning Pareto-Frontier Resource Management Policies for Heterogeneous SoCs: An Information-Theoretic Approach.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Joint Delay and Cost Optimization of In-Route Charging for On-Demand Electric Vehicles.
IEEE Trans. Intell. Veh., 2020
Fog-Based Multi-Class Dispatching and Charging for Autonomous Electric Mobility On-Demand.
IEEE Trans. Intell. Transp. Syst., 2020
Design and Optimization of Energy-Accuracy Tradeoff Networks for Mobile Platforms via Pretrained Deep Models.
ACM Trans. Embed. Comput. Syst., 2020
Information-Theoretic Multi-Objective Bayesian Optimization with Continuous Approximations.
CoRR, 2020
CoRR, 2020
CoRR, 2020
Uncertainty aware Search Framework for Multi-Objective Bayesian Optimization with Constraints.
CoRR, 2020
Fleet Re-Balancing with In-Route Charging for Multi-Class Autonomous Electric MoD Systems.
Proceedings of the 2020 IEEE International Conference on Communications, 2020
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Multi-Class Management With Sub-Class Service for Autonomous Electric Mobility On-Demand Systems.
IEEE Trans. Veh. Technol., 2019
Optimal Cloud-Based Routing With In-Route Charging of Mobility-on-Demand Electric Vehicles.
IEEE Trans. Intell. Transp. Syst., 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
2018
Optimal Local and In-Route Charging Management of Electric Mobility-on-Demand Systems.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018
Optimal Vehicle Dimensioning for Multi-Class Autonomous Electric Mobility On-Demand Systems.
Proceedings of the 2018 IEEE International Conference on Communications Workshops, 2018
Joint Delay and Cost Optimization for Electric On-Demand Vehicles with In-Route Charging.
Proceedings of the 2018 IEEE International Conference on Communications, 2018
2017
A Multi-Class Dispatching and Charging Scheme for Autonomous Electric Mobility On-Demand.
Proceedings of the 86th IEEE Vehicular Technology Conference, 2017
Proceedings of the 86th IEEE Vehicular Technology Conference, 2017