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Methodology
← Optimization
Mathematics & Optimization
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Optimization
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Combinatorial Optimization
2407 directly classified papers
Papers per year
2002: 1
2004: 1
2005: 2
2006: 9
2007: 6
2008: 5
2009: 16
2010: 20
2011: 19
2012: 19
2013: 53
2014: 48
2015: 67
2016: 61
2017: 137
2018: 174
2019: 220
2020: 270
2021: 264
2022: 259
2023: 295
2024: 230
2025: 149
2026: 82
Papers
Structure-Aware Surface Reconstruction via Primitive Assembly
ICCV 2023
Greed is good: correspondence recovery for unlabeled linear regression
UAI 2023
Multi-objective Search via Lazy and Efficient Dominance Checks
IJCAI 2023
Approximations for Indivisible Concave Allocations with Applications to Nash Welfare Maximization
AAAI 2023
Faster Exact MPE and Constrained Optimization with Deterministic Finite State Automata
IJCAI 2023
Globally solving the Gromov-Wasserstein problem for point clouds in low dimensional Euclidean spaces
NIPS 2023
Towards Characterizing the First-order Query Complexity of Learning (Approximate) Nash Equilibria in Zero-sum Matrix Games
NIPS 2023
In Which Graph Structures Can We Efficiently Find Temporally Disjoint Paths and Walks?
IJCAI 2023
A One-Size-Fits-All Approach to Improving Randomness in Paper Assignment
NIPS 2023
Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations
NIPS 2023
A Generalized Scalarization Method for Evolutionary Multi-Objective Optimization
AAAI 2023
Daycare Matching in Japan: Transfers and Siblings
AAAI 2023
Sudoku Assistant – an AI-Powered App to Help Solve Pen-and-Paper Sudokus
AAAI 2023
Resource Sharing through Multi-Round Matchings
AAAI 2023
Accelerating Voting by Quantum Computation
UAI 2023
Optimal Pathfinding on Weighted Grid Maps
AAAI 2023
A Combinatorial Algorithm for Approximating the Optimal Transport in the Parallel and MPC Settings
NIPS 2023
Practical Parallel Algorithms for Submodular Maximization Subject to a Knapsack Constraint with Nearly Optimal Adaptivity
AAAI 2023
Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty
AAAI 2023
Ultrafast Euclidean Shortest Path Computation Using Hub Labeling
AAAI 2023
Recent Developments in Data-Driven Algorithms for Discrete Optimization
AAAI 2023
Tight Inapproximability for Graphical Games
AAAI 2023
Now We’re Talking: Better Deliberation Groups through Submodular Optimization
AAAI 2023
Multiagent MST Cover: Pleasing All Optimally via a Simple Voting Rule
AAAI 2023
Finding Good Partial Assignments during Restart-Based Branch and Bound Search
AAAI 2023
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