Online optimization in the Non-Stationary Cloud: Change Point Detection for Resource Provisioning (Invited Paper). - Jessica Maghakian; Joshua Comden; Zhenhua Liu 002 (CISS, 2019)

A Novel Particle Filter for High-Dimensional Systems Using Penalized Perturbations. - Yousef El-Laham; Zahraa Krayem; Jessica Maghakian; Mónica F. Bugallo (EUSIPCO, 2019)

Online Economic Dispatch with Volatile Renewable Generation and Ramping Costs. - Joshua Comden; Jessica Maghakian; Zhenhua Liu 002 (ICNC, 2020)

Leveraging Different Types of Predictors for Online Optimization (Invited Paper). - Jessica Maghakian; Russell Lee; Mohammad H. Hajiesmaili; Jian Li 008; Zhenhua Liu 002; Ramesh K. Sitaraman (CISS, 2021)

Online Peak-Aware Energy Scheduling with Untrusted Advice. - Russell Lee; Jessica Maghakian; Mohammad H. Hajiesmaili; Jian Li 008; Ramesh K. Sitaraman; Zhenhua Liu 002 (e-Energy, 2021)

Interaction-Grounded Learning for Recommender Systems. - Jessica Maghakian; Kishan Panaganti; Paul Mineiro; Akanksha Saran; Cheng Tan (ORSUM@RecSys, 2022)

Online Resource Allocation with Noisy Predictions. - Jessica Maghakian (SIGMETRICS Perform. Evaluation Rev., 2022)

Personalized Reward Learning with Interaction-Grounded Learning (IGL). - Jessica Maghakian; Paul Mineiro; Kishan Panaganti; Mark Rucker; Akanksha Saran; Cheng Tan (ICLR, 2023)

Applied Online Algorithms with Heterogeneous Predictors. - Jessica Maghakian; Russell Lee; Mohammad Hajiesmaili; Jian Li 008; Ramesh K. Sitaraman; Zhenhua Liu 002 (ICML, 2023)

Cannikin: Optimal Adaptive Distributed DNN Training over Heterogeneous Clusters. - Chengyi Nie; Jessica Maghakian; Zhenhua Liu 002 (Middleware, 2024)

Training DNN Models over Heterogeneous Clusters with Optimal Performance. - Chengyi Nie; Jessica Maghakian; Zhenhua Liu 002 (CoRR, 2024)