3 papers
cs.LG2026
Memory-Guided Trust-Region Bayesian Optimization (MG-TuRBO) for High Dimensions
Abhilasha Saroj, Shaked Regev, Guanhao Xu +3
Traffic simulation and digital-twin calibration is a challenging optimization problem with a limited simulation budget. Each trial requires an expensive simulation run, and the rel…
math.OC2026
Fast Relax-and-Round Unit Commitment with Sub-hourly Mechanical and Ramp Constraints
Shaked Regev, Eve Tsybina, Slaven Peles
We propose a novel computational method for unit commitment UC, which does not require linearized approximation and provides several orders of magnitude performance improvement ove…
math.OC2025
A Fast Relax-and-Round Approach to Unit Commitment for Data Center Own Generation
Shaked Regev, Eve Tsybina, Slaven Peles
The rapid growth of data centers increasingly requires data center operators to "bring own generation" to complement the available utility power plants to supply all or part of dat…