PhD student, University of California, Berkeley
1 paper at NeurIPS 2025
We study an extension of contextual stochastic linear optimization (CSLO) that involves uncertain constraints and propose a "Smart predict-then-optimize with Robust Constraint (SPO-RC)" loss function.
