Research map / Learning theory and algorithms / Submodular and game algorithms
Robust Budget Allocation via Continuous Submodular Functions
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.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Choose allocations by maximizing worst-case influence over an uncertainty set rather than using a point estimate | Budget Allocation · Synthetic data, ellipsoidal and D-norm uncertainty sets | worst-case influence | Helped |
| Choose allocations by maximizing worst-case influence over an uncertainty set rather than using a point estimate | Budget Allocation · Yahoo! Webscope bidding data | expected influenced people: 100-500 expected influenced people | Helped |
| Use the expected-influence allocation instead of the robust allocation | Budget Allocation · Synthetic data, large total budget | worst-case influence | No clear effect |
| Use the expected-influence allocation instead of the robust allocation | Budget Allocation · Synthetic data, scarce resources | worst-case influence | Hurt |
| Use fixed-stepsize Frank-Wolfe to find the worst-case vector instead of the proposed submodular minimization scheme | Robust Budget Allocation · One Yahoo! problem instance with D-norm uncertainty | worst-case influence | No clear effect |
Closest papers by meaning
- Deletion-Robust Submodular Maximization with Knapsack Constraints (AAAI 2024 · similarity 0.87)
- An Asymptotically Optimal Approximation Algorithm for Multiobjective Submodular Maximization at Scale (ICML 2025 · similarity 0.86)
- Online Two-Stage Submodular Maximization (NeurIPS 2025 · similarity 0.86)
- Online and Streaming Algorithms for Constrained k-Submodular Maximization (AAAI 2025 · similarity 0.86)
- A Unified Approach to Submodular Maximization Under Noise (NeurIPS 2025 · similarity 0.85)
- Consistent Submodular Maximization (ICML 2024 · similarity 0.85)
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.