Research map / Optimization / Nonconvex and smooth optimization
A Stochastic Derivative Free Optimization Method with Momentum
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- On the Almost Sure Convergence of the Stochastic Three Points Algorithm (ICLR 2025 · similarity 0.89)
- Minibatch Stochastic Three Points Method for Unconstrained Smooth Minimization (AAAI 2024 · similarity 0.87)
- Stochastic Optimization with Random Search (NeurIPS 2026 · similarity 0.87)
- Derivatives of Stochastic Gradient Descent in parametric optimization (NeurIPS 2024 · similarity 0.87)
- Nonlinearly Preconditioned Gradient Methods: Momentum and Stochastic Analysis (NeurIPS 2025 · similarity 0.86)
- Stochastic Zeroth-Order Optimization Under Heavy-Tailed Noise (NeurIPS 2026 · similarity 0.86)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.