Wierman, Adam
Combined from CaltechTHESIS advisor
- Yu, Jing (2025) Safe and Scalable Learning-Based Control: Theory and Application in Sustainable Energy Systems; 10.7907/bgar-0602
- Lin, Yiheng (2025) Predictions and Policy Optimization in Online Decision Making; 10.7907/37t0-7n77
- Christianson, Nicolas Henry (2025) Machine Learning-Augmented Algorithms: Theory and Applications in Energy and Sustainability; 10.7907/nyn2-q614
- Chen, James Yuxuan (2024) Enforcing Constraints in Learning-Augmented Online Optimization: Theory and Applications to Energy Systems; 10.7907/fmhp-dg57
- Li, Tongxin (2023) Learning-Augmented Control and Decision-Making: Theory and Applications in Smart Grids; 10.7907/cdf6-0w78
- Werner, Lucien Desloge (2023) Uncertainty and Decentralization: Two Themes in an Energy Transformation; 10.7907/scmm-p028
- Nair, Jayakrishnan U. (2012) Scheduling for Heavy-Tailed and Light-Tailed Workloads in Queueing Systems; 10.7907/AAXJ-EX10