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Methodology
← Optimization
Mathematics & Optimization
›
Optimization
›
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
Faster Exact MPE and Constrained Optimization with Deterministic Finite State Automata
IJCAI 2023
Constraints First: A New MDD-based Model to Generate Sentences Under Constraints
IJCAI 2023
New Bounds and Constraint Programming Models for the Weighted Vertex Coloring Problem
IJCAI 2023
Unifying Core-Guided and Implicit Hitting Set Based Optimization
IJCAI 2023
Solving the Identifying Code Set Problem with Grouped Independent Support
IJCAI 2023
Fast Algorithms for SAT with Bounded Occurrences of Variables
IJCAI 2023
INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models
EMNLP 2023
Template-Based Piecewise Affine Regression
L4DC 2023
Now We’re Talking: Better Deliberation Groups through Submodular Optimization
AAAI 2023
Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation
IJCAI 2023
Ballot Length in Instant Runoff Voting
AAAI 2023
Take Out the TraChe: Maximizing (Tra)nsactional Ca(che) Hit Rate
OSDI 2023
Optimal Pathfinding on Weighted Grid Maps
AAAI 2023
Learning Cuts via Enumeration Oracles
NIPS 2023
Opinion Optimization in Directed Social Networks
AAAI 2023
Warm-Starting Nested Rollout Policy Adaptation with Optimal Stopping
AAAI 2023
Constrained Submodular Optimization for Vaccine Design
AAAI 2023
Proofs and Certificates for Max-SAT (Extended Abstract)
IJCAI 2023
Ultrafast Euclidean Shortest Path Computation Using Hub Labeling
AAAI 2023
Recent Developments in Data-Driven Algorithms for Discrete Optimization
AAAI 2023
A Combinatorial Algorithm for Approximating the Optimal Transport in the Parallel and MPC Settings
NIPS 2023
Learning to Configure Separators in Branch-and-Cut
NIPS 2023
A One-Size-Fits-All Approach to Improving Randomness in Paper Assignment
NIPS 2023
Faster Discrete Convex Function Minimization with Predictions: The M-Convex Case
NIPS 2023
Parallel Submodular Function Minimization
NIPS 2023
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