Paul Duetting

7 papers · 2019–2024 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13)

Venues

ICML (6) NeurIPS (1)

Top co-authors

Ashkan Norouzi-Fard (4) Federico Fusco (3) Morteza Zadimoghaddam (3) Silvio Lattanzi (3) Jose Correa (1) Dmitry Ivanov (1) Zhe Feng (1) Andres Cristi (1) Harikrishna Narasimhan (1) David C. Parkes (1)

Research topics

Mathematics & Optimization (6) Optimization (6) Machine Learning (4) Optimization & Theory (4) Computer Science (3) Foundations (3) Deep Learning (2) Application Areas (2) Architectures (2) Artificial Intelligence (1) Core AI (1) Learning Types (1) Models (1) Techniques (1)

Keywords

neural network (2) submodular maximization (2) deep learning (2) approximation algorithm (2) contract design (2) matroid constraint (2) incentive compatibility (2) machine learning (1) consistency (1) data summarization (1) submodular function maximization (1) no-regret learning (1) revenue optimization (1) secretary problem (1) bias mitigation (1) dynamic data structure (1) utility maximization (1) principal-agent problem (1) dynamic environment (1) deletion robustness (1)

Papers

Consistent Submodular Maximization ICML 2024 Deep Contract Design via Discontinuous Networks NeurIPS 2023 Fully Dynamic Submodular Maximization over Matroids ICML 2023 Optimal No-Regret Learning for One-Sided Lipschitz Functions ICML 2023 Deletion Robust Submodular Maximization over Matroids ICML 2022 Fairness and Bias in Online Selection ICML 2021 Optimal Auctions through Deep Learning ICML 2019