Loay Mualem

5 papers · 2022–2024 · 3 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 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11)

Venues

NeurIPS (3) AISTATS (1) IJCAI (1)

Top co-authors

Moran Feldman (4) Murad Tukan (3) Alaa Maalouf (1)

Research topics

Mathematics & Optimization (4) Optimization (4) Machine Learning (3) Optimization & Theory · Machine Learning (3) Application Areas (2) Artificial Intelligence (1) Deep Learning (1) Core AI (1) Optimization & Theory · Deep Learning (1)

Keywords

approximation algorithm (3) submodular maximization (3) continuous optimization (2) machine learning application (2) online algorithm (2) combinatorial optimization (2) polynomial time algorithm (1) dr-submodular maximization (1) dr-submodular function (1) offline algorithm (1) convex geometry (1) movie recommendation (1) image summarization (1) lowener ellipsoid (1) caratheodory theorem (1) convex set constraint (1) monotonicity ratio (1) lowner ellipsoid (1) model compression (1) neural network pruning (1)

Papers

Bridging the Gap between General and Down-Closed Convex Sets in Submodular Maximization IJCAI 2024 Practical $0.385$-Approximation for Submodular Maximization Subject to a Cardinality Constraint NeurIPS 2024 Resolving the Approximability of Offline and Online Non-monotone DR-Submodular Maximization over General Convex Sets AISTATS 2023 Pruning Neural Networks via Coresets and Convex Geometry: Towards No Assumptions NeurIPS 2022 Using Partial Monotonicity in Submodular Maximization NeurIPS 2022