2 papers
cs.LG2021
A Mathematical Foundation for Robust Machine Learning based on Bias-Variance Trade-off
Ou Wu, Weiyao Zhu, Yingjun Deng +2
A common assumption in machine learning is that samples are independently and identically distributed (i.i.d). However, the contributions of different samples are not identical in…
math.OC2020
Gradient-based Algorithms for Convex Discrete Optimization via Simulation
Haixiang Zhang, Zeyu Zheng, Javad Lavaei
We propose new sequential simulation-optimization algorithms for general convex optimization via simulation problems with high-dimensional discrete decision space. The performance…