The results show that the draft sampling method strongly influences the optimal acceptance rate, with sampling without replacement outperforming sampling with replacement, and the theoretical upper bound of MDSD efficiency is measured for the first time.
Zheng-Mian Hu, Tong Zheng, V. Viswanathan et al.· International Conference on...· 26 citations· ⚡4
This work introduces distributionally robust multi-objective optimization (DR-MOO), which minimizes multiple objectives under their respective worst-case distributions, and proposes Pareto-type solution concepts for DR-MOO and develops multi-gradient descent algorithms (MGDA) with provable guarantees.
Yu-Feng Yang, Fangning Zhuo, Zi-Yi Chen et al.· 0 citations
This work characterize structural misspecification as a perturbed factor analysis problem, and establishes subspace identifiability under spectral separation and controlled perturbation, followed by component-wise identifiability under structural sparsity.
Yu-Ke Li, Yujia Zheng, Zi-Yi Chen et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.