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cs.LG2026
Approximating Pareto Frontiers in Stochastic Multi-Objective Optimization via Hashing and Randomization
Jinzhao Li, Nan Jiang, Yexiang Xue
Stochastic Multi-Objective Optimization (SMOO) is critical for decision-making trading off multiple potentially conflicting objectives in uncertain environments. SMOO aims at ident…
math.OC2026
Chvátal-Gomory Rounding of Eigenvector Inequalities for QCQPs
Santanu S. Dey, Nan Jiang, Aleksandr Kazachkov +2
We introduce and analyze a class of valid inequalities for nonconvex quadratically constrained optimization problems (QCQPs) which we call Eigen-CG inequalities. These inequalities…