2 papers
cs.LG2026
Dimensional Peeking for Low-Variance Gradients in Zeroth-Order Discrete Optimization via Simulation
Philipp Andelfinger, Wentong Cai
Gradient-based optimization methods are commonly used to identify local optima in high-dimensional spaces. When derivatives cannot be evaluated directly, stochastic estimators can…
cs.LG2025
Learning to Optimize Capacity Planning in Semiconductor Manufacturing
Philipp Andelfinger, Jieyi Bi, Qiuyu Zhu +7
In manufacturing, capacity planning is the process of allocating production resources in accordance with variable demand. The current industry practice in semiconductor manufacturi…