Optimal Routing with In-Route Charging of Mobility-on-Demand Electric Vehicles. - Mustafa Ammous; Syrine Belakaria; Sameh Sorour; Ahmed Abdel-Rahim (VTC Fall, 2017)

A Multi-Class Dispatching and Charging Scheme for Autonomous Electric Mobility On-Demand. - Syrine Belakaria; Mustafa Ammous; Sameh Sorour; Ahmed Abdel-Rahim (VTC Fall, 2017)

Joint Delay and Cost Optimization for Electric On-Demand Vehicles with In-Route Charging. - Mustafa Ammous; Syrine Belakaria; Sameh Sorour; Ahmed Abdel-Rahim (ICC, 2018)

Optimal Vehicle Dimensioning for Multi-Class Autonomous Electric Mobility On-Demand Systems. - Syrine Belakaria; Mustafa Ammous; Sameh Sorour; Ahmed Abdel-Rahim (ICC Workshops, 2018)

Optimal Local and In-Route Charging Management of Electric Mobility-on-Demand Systems. - Mustafa Ammous; Syrine Belakaria; Sameh Sorour; Ahmed Abdel-Rahim (VTC Fall, 2018)

Max-value Entropy Search for Multi-Objective Bayesian Optimization. - Syrine Belakaria; Aryan Deshwal; Janardhan Rao Doppa (NeurIPS, 2019)

Optimal Cloud-Based Routing With In-Route Charging of Mobility-on-Demand Electric Vehicles. - Mustafa Ammous; Syrine Belakaria; Sameh Sorour; Ahmed Abdel-Rahim (IEEE Trans. Intell. Transp. Syst., 2019)

Multi-Class Management With Sub-Class Service for Autonomous Electric Mobility On-Demand Systems. - Syrine Belakaria; Mustafa Ammous; Lauren Smith; Sameh Sorour; Ahmed Abdel-Rahim (IEEE Trans. Veh. Technol., 2019)

Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach. - Syrine Belakaria; Aryan Deshwal; Janardhan Rao Doppa (AAAI, 2020)

Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization. - Syrine Belakaria; Aryan Deshwal; Nitthilan Kannappan Jayakodi; Janardhan Rao Doppa (AAAI, 2020)

Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework. - Aryan Deshwal; Syrine Belakaria; Janardhan Rao Doppa; Alan Fern (AAAI, 2020)

Design of Multi-Output Switched-Capacitor Voltage Regulator via Machine Learning. - Zhiyuan Zhou; Syrine Belakaria; Aryan Deshwal; Wookpyo Hong; Janardhan Rao Doppa; Partha Pratim Pande; Deukhyoun Heo (DATE, 2020)

Fleet Re-Balancing with In-Route Charging for Multi-Class Autonomous Electric MoD Systems. - Nuzhat Yamin; Lauren Smith; Syrine Belakaria; Sameh Sorour; Ahmed Abdel-Rahim (ICC, 2020)

Uncertainty aware Search Framework for Multi-Objective Bayesian Optimization with Constraints. - Syrine Belakaria; Aryan Deshwal; Janardhan Rao Doppa (CoRR, 2020)

Scalable Combinatorial Bayesian Optimization with Tractable Statistical models. - Aryan Deshwal; Syrine Belakaria; Janardhan Rao Doppa (CoRR, 2020)

Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints. - Syrine Belakaria; Aryan Deshwal; Janardhan Rao Doppa (CoRR, 2020)

Information-Theoretic Multi-Objective Bayesian Optimization with Continuous Approximations. - Syrine Belakaria; Aryan Deshwal; Janardhan Rao Doppa (CoRR, 2020)

Design and Optimization of Energy-Accuracy Tradeoff Networks for Mobile Platforms via Pretrained Deep Models. - Nitthilan Kanappan Jayakodi; Syrine Belakaria; Aryan Deshwal; Janardhan Rao Doppa (ACM Trans. Embed. Comput. Syst., 2020)

Fog-Based Multi-Class Dispatching and Charging for Autonomous Electric Mobility On-Demand. - Syrine Belakaria; Mustafa Ammous; Sameh Sorour; Ahmed Abdel-Rahim (IEEE Trans. Intell. Transp. Syst., 2020)

Joint Delay and Cost Optimization of In-Route Charging for On-Demand Electric Vehicles. - Mustafa Ammous; Syrine Belakaria; Sameh Sorour; Ahmed Abdel-Rahim (IEEE Trans. Intell. Veh., 2020)

Mercer Features for Efficient Combinatorial Bayesian Optimization. - Aryan Deshwal; Syrine Belakaria; Janardhan Rao Doppa (AAAI, 2021)

Learning Pareto-Frontier Resource Management Policies for Heterogeneous SoCs: An Information-Theoretic Approach. - Aryan Deshwal; Syrine Belakaria; Ganapati Bhat; Janardhan Rao Doppa; Partha Pratim Pande (DAC, 2021)

Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise. - Xiaoxuan Yang 001; Syrine Belakaria; Biresh Kumar Joardar; Huanrui Yang; Janardhan Rao Doppa; Partha Pratim Pande; Krishnendu Chakrabarty; Hai Helen Li (ICCAD, 2021)

Bayesian Optimization over Hybrid Spaces. - Aryan Deshwal; Syrine Belakaria; Janardhan Rao Doppa (ICML, 2021)

Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization. - Syrine Belakaria; Aryan Deshwal; Janardhan Rao Doppa (J. Artif. Intell. Res., 2021)

Bayesian Optimization over Permutation Spaces. - Aryan Deshwal; Syrine Belakaria; Janardhan Rao Doppa; Dae Hyun Kim 004 (AAAI, 2022)

Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach. - Syrine Belakaria; Janardhan Rao Doppa; Nicolò Fusi; Rishit Sheth (AISTATS, 2023)

Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization. - Alaleh Ahmadianshalchi; Syrine Belakaria; Janardhan Rao Doppa (AAAI, 2024)

Preference-Aware Constrained Multi-Objective Bayesian Optimization (Student Abstract). - Alaleh Ahmadianshalchi; Syrine Belakaria; Janardhan Rao Doppa (AAAI, 2024)

Preference-Aware Constrained Multi-Objective Bayesian Optimization. - Alaleh Ahmadianshalchi; Syrine Belakaria; Janardhan Rao Doppa (COMAD/CODS, 2024)

Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes. - Syrine Belakaria; Ben Letham; Jana Doppa; Barbara Engelhardt; Stefano Ermon; Eytan Bakshy (NeurIPS, 2024)

Non-Myopic Multi-Objective Bayesian Optimization. - Syrine Belakaria; Alaleh Ahmadianshalchi; Barbara E. Engelhardt; Stefano Ermon; Jana Doppa (Trans. Mach. Learn. Res., 2025)

Preference-Guided Diffusion for Multi-Objective Offline Optimization. - Yashas Annadani; Syrine Belakaria; Stefano Ermon; Stefan Bauer; Barbara E. Engelhardt (CoRR, 2025)

Sharpe Ratio-Guided Active Learning for Preference Optimization in RLHF. - Syrine Belakaria; Joshua Kazdan; Charles Marx; Chris Cundy; Willie Neiswanger; Sanmi Koyejo; Barbara E. Engelhardt; Stefano Ermon (CoRR, 2025)