Research map / Learning theory and algorithms / Combinatorial and search optimization
Solving Integer Quadratic Programming via Explicit and Structural Restrictions
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
- The Complexity Landscape of Decompositional Parameters for ILP (AAAI 2016 · similarity 0.88)
- Learning-Augmented Approximation Algorithms for Maximum Cut and Related Problems (NeurIPS 2024 · similarity 0.83)
- Differentiable Quadratic Optimization For the Maximum Independent Set Problem (ICML 2025 · similarity 0.83)
- Sample complexity of stochastic optimization with integer variables (NeurIPS 2026 · similarity 0.83)
- Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs (ICML 2025 · similarity 0.83)
- Generalization Guarantees for Learning Score-Based Branch-and-Cut Policies in Integer Programming (NeurIPS 2025 · similarity 0.83)
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.
