Research map / Learning theory and algorithms / Submodular and game algorithms
Provable Variational Inference for Constrained Log-Submodular Models
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
- Variational Inference in Mixed Probabilistic Submodular Models (NeurIPS 2016 · similarity 0.93)
- From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models (ICML 2020 · similarity 0.91)
- Optimal Continuous DR-Submodular Maximization and Applications to Provable Mean Field Inference (ICML 2019 · similarity 0.90)
- Differentiable Learning of Submodular Models (NeurIPS 2017 · similarity 0.90)
- Continuous DR-submodular Maximization: Structure and Algorithms (NeurIPS 2017 · similarity 0.89)
- Online Two-Stage Submodular Maximization (NeurIPS 2025 · similarity 0.88)
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.