Sharpe Ratio-Guided Active Learning for Preference Optimization in RLHF
Syrine Belakaria, Joshua Kazdan, Charles Marx, Chris Cundy, Willie Neiswanger, Sanmi Koyejo, Barbara Engelhardt, Stefano Ermon
Preprint
Preference-Guided Diffusion for Multi-Objective Offline Optimization
Yashas Annadani, Syrine Belakaria, Stefano Ermon, Stefan Bauer, Barbara Engelhardt
Preprint
Sample Efficient Preference Alignment in LLMs via Active Exploration
Syrine Belakaria*, Viraj Mehta*, Vikramjeet Das, Ojash Neopane, Yijia Dai, Ilija Bogunovic, Barbara Engelhardt, Stefano Ermon, Jeff Schneider, Willie Neiswanger
Preprint
Non-Myopic Multi-Objective Bayesian Optimization
Syrine Belakaria*, Alaleh Ahmadianshalchi*, Barbara Engelhardt, Stefano Ermon, Janardhan Rao Doppa
Transactions on Machine Learning Research (TMLR), 2024
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes
Syrine Belakaria, Benjamin Letham, Janardhan Rao Doppa, Barbara Engelhardt, Stefano Ermon, Eytan Bakshy
Conference on Neural Information Processing Systems (NeurIPS), 2024
Pareto front Diverse Batch Multi-Objective Bayesian Optimization
Syrine Belakaria*, Alaleh Ahmadianshalchi*, Janardhan Rao Doppa
Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2024
Preference-Aware Constrained Multi-Objective Bayesian Optimization
Alaleh Ahmadianshalchi, Syrine Belakaria, Janardhan Rao Doppa
ACM Joint International Conference on Data Science & Management of Data, 2024
NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems, 2022 [PDF ]
New Frontiers In Adaptive Experimental Design For Multi-objective Optimization
Syrine Belakaria
Ph.D. Thesis, Washington State University, 2023 [PDF]
Hyperparameter Selection Using Budget-aware Bayesian Optimization
Syrine Belakaria, Rishit Sheth, Nicolo Fusi
US Patent, 2023
Bayesian Optimization Over Iterative Learners with Structured Response: A Budget-aware Planning Approach
Syrine Belakaria, Janardhan Rao Doppa, Nicolo Fusi, and Rishit Sheth
The 26th International Conference on Artificial Intelligence and Statistics (AISTATS), 2023 [PDF ]
Bayesian Optimization over Permutation Spaces
Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization
Machine Learning Enabled Design Automation and Multi-Objective Optimization for Electric Transportation Power Systems
Syrine Belakaria*, Derek Jackson*, Yue Cao, Janardhan Rao Doppa, and Xiaonan Lu
IEEE Transactions on Transportation Electrification (TTE), 2021
Bayesian Optimization over Hybrid Spaces
Mercer Features for Efficient Combinatorial Bayesian Optimization
Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise
Xiaoxuan Yang, Syrine Belakaria, Biresh Kumar Joardar, Huanrui Yang, Janardhan Rao Doppa, Partha Pande, Krishnendu Chakrabarty, and Hai Li
Proceedings of 40th IEEE/ACM International Conference on Computer Aided Design (ICCAD), 2021
Learning Pareto-Frontier Resource Management Policies for Heterogeneous SoCs: An Information-Theoretic Approach
Aryan Deshwal, Syrine Belakaria, Ganapati Bhat, Janardhan Rao Doppa, and Partha Pande.
Proceedings of 58th Design Automation Conference (DAC) [PDF ]
Information-Theoretic Multi-Objective Bayesian Optimization with Continuous Approximations
Syrine Belakaria, Aryan Deshwal, and Janardhan Rao Doppa
NeurIPS Workshop on Machine Learning for Engineering Modeling, Simulation, and Design, 2020 [PDF ]
Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints
Scalable Combinatorial Bayesian Optimization with Tractable Statistical Models
Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization with Constraints
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework
Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa, and Alan Fern
Proceedings of 34th AAAI Conference on Artificial Intelligence (AAAI), 2020 [PDF]
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach
Syrine Belakaria, Aryan Deshwal, and Janardhan Rao Doppa
Proceedings of 34th AAAI Conference on Artificial Intelligence (AAAI), 2020 [PDF]
Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization
Design of Multi-Output Switched-Capacitor Voltage Regulator via Machine Learning
Syrine Belakaria *, Zhiyuan Zhou *, Aryan Deshwal, Wookpyo Hong, Janardhan Rao Doppa, Partha Pratim Pande, and Deukhyoun Heo (* denotes equal contribution)
Proceedings of 23rd IEEE/ACM International Conference on Design Automation and Test in Europe (DATE), 2020 [PDF]
Machine Learning Enabled Fast Multi-Objective Optimization for Electrified Aviation Power System Design
Syrine Belakaria*, Derek Jackson*, Yue Cao, Janardhan Rao Doppa, and Xiaonan Lu (* denotes equal contribution)
Proceedings of IEEE Energy Conversion Congress and Exposition (ECCE), 2020 [PDF]
Design and Optimization of Energy-Accuracy Trade-off Networks for Mobile platforms via Pretrained Deep Models
Nitthilan Kannappan Jayakodi, Syrine Belakaria, Aryan Deshwal, and Janardhan Rao Doppa
ACM Transactions on Embedded Computing Systems (TECS), 19(1): 4:1-4:24, 2020 [PDF]
Fleet Re-Balancing with In-Route Charging for Decentralized Multi-Class Autonomous Electric Mobility on Demand Systems.
Nuzhat Yamin, Lauren Smith, Syrine Belakaria, Sameh Sorour, and Ahmed Abdel-Rahim
Proceedings of IEEE International Conference on Communications (ICC), 2020. [PDF]
Max-value Entropy Search for Multi-Objective Bayesian Optimization
Multi-Class Management with Sub-Class Service for Autonomous Electric Mobility On-Demand Systems
Syrine Belakaria, Mustafa Ammous, Lauren Smith, Sameh Sorour, and Ahmed Abdel-Rahim
IEEE Transactions on Vehicular Technology (TVT), 68(7), 7155-7159, 2019 [PDF ]
Joint Delay and Cost Optimization of In-Route Charging for On-Demand Electric Vehicles.
Mustafa Ammous, Syrine Belakaria, Sameh Sorour, and Ahmed Abdel-Rahim
IEEE Transactions on Intelligent Vehicles (IEEE T-IV), 2019 [PDF ]
Fog-Based Multi-Class Dispatching and Charging for Autonomous Electric Mobility On-Demand.
Syrine Belakaria, Mustafa Ammous, Sameh Sorour, and Ahmed Abdel-Rahim
IEEE Transactions on Intelligent Transportation Systems (ITST), 2019 [PDF ]
Optimal Cloud Based Routing with In-Route Charging of Mobility-on-Demand Electric Vehicles.
Mustafa Ammous, Syrine Belakaria, Sameh Sorour, and Ahmed Abdel-Rahim
IEEE Transactions on Intelligent Transportation Systems (ITST), 20(7) , 2510-2522, 2018 [PDF ]
Optimal Local and In-Route Charging Management of Electric Mobility-On-Demand Systems.
Mustafa Ammous, Syrine Belakaria, Sameh Sorour, and Ahmed Abdel-Rahim
Proceedings of IEEE Vehicular Technology Conference (VTC), 2018 [PDF ]
Optimal Vehicles Dimensioning for Multi-Class Autonomous Electric Mobility On-Demand Systems.
Syrine Belakaria, Mustafa Ammous, Sameh Sorour, and Ahmed Abdel-Rahim
Proceedings of IEEE International Conference on Communications (ICC), 2018 [PDF ]
Joint Delay and Cost Optimization for Electric On-Demand Vehicles with In-Route Charging.
Mustafa Ammous, Syrine Belakaria, Sameh Sorour, and Ahmed Abdel-Rahim
Proceedings of IEEE International Conference on Communications (ICC), 2018 [PDF ]
A Multi-Class Dispatching and Charging Scheme for Autonomous Electric Mobility On-Demand.
Syrine Belakaria, Mustafa Ammous, Sameh Sorour, and Ahmed Abdel-Rahim
Proceedings of IEEE Vehicular Technology Conference (VTC), 2017 [PDF ]
Optimal Routing with In-Route Charging of Mobility-on-Demand Electric Vehicles.
Mustafa Ammous, Syrine Belakaria, Sameh Sorour, and Ahmed Abdel-Rahim
Proceedings of IEEE Vehicular Technology Conference (VTC), 2017 [PDF ]
(* denotes equal contribution)
A Hierarchical Management Framework for Autonomous Electric Mobility-on-Demand Services
Nuzhat Yamin, Syrine Belakaria, Sameh Sorour, Mohamad Hefeida
Connected and Autonomous Vehicles in Smart Cities, Chapter 2, CRC Press, 2020.