3 papers
math.OC2026
Stochastic Zeroth-Order Optimization Under Heavy-Tailed Noise
Taha El Bakkali, El Mahdi Chayti, Qiuyi Zhang +2
We study stochastic zeroth-order (ZO) optimization of smooth nonconvex objectives under heavy-tailed sample-gradient noise. This regime is motivated by empirical evidence that grad…
math.OC2026
On the Almost Sure Convergence of the Stochastic Three Points Algorithm
Taha El Bakkali El Kadi, Omar Saadi
The stochastic three points (STP) algorithm is a derivative-free optimization technique designed for unconstrained optimization problems in . In this paper, we analyz…
math.OC2025
Stochastic Optimization with Random Search
El Mahdi Chayti, Taha El Bakkali El Kadi, Omar Saadi +1
We revisit random search for stochastic optimization, where only noisy function evaluations are available. We show that the method works under weaker smoothness assumptions than pr…