cshjin/awesome-nonconvex-optimization
A collection of papers and readings for non-convex optimization
This is a curated collection of academic papers focused on advanced techniques for non-convex optimization. It helps researchers and practitioners explore breakthroughs in algorithms for solving complex problems where traditional methods might fail. The collection provides direct links to published research, allowing users to dive deep into the theoretical underpinnings and practical applications of these optimization strategies.
Use this if you are an optimization researcher, a machine learning scientist, or a quantitative analyst looking for seminal and recent academic literature on non-convex optimization methods to inform your own algorithm development or theoretical understanding.
Not ideal if you are looking for ready-to-use software implementations, code examples, or beginner-friendly tutorials on optimization.
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Mar 26, 2026
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