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← Optimization
Mathematics & Optimization
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Optimization
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Discrete Optimization
705 directly classified papers
Papers per year
2006: 1
2007: 9
2008: 7
2009: 4
2010: 10
2011: 5
2012: 15
2013: 35
2014: 29
2015: 26
2016: 19
2017: 41
2018: 60
2019: 54
2020: 66
2021: 68
2022: 63
2023: 49
2024: 90
2025: 51
2026: 3
Papers
SIGMA: Scale-Invariant Global Sparse Shape Matching
ICCV 2023
Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning
ICML 2023
Low-complexity Broadband Beampattern Synthesis using Array Response Control
INTERSPEECH 2023
Farsighted Probabilistic Sampling: A General Strategy for Boosting Local Search MaxSAT Solvers
AAAI 2023
Fast Fluid Simulation via Dynamic Multi-Scale Gridding
AAAI 2023
Boosting Learning for LDPC Codes to Improve the Error-Floor Performance
NIPS 2023
Nearly Tight Bounds For Differentially Private Multiway Cut
NIPS 2023
Decentralized Riemannian Algorithm for Nonconvex Minimax Problems
AAAI 2023
Fast $(1+\varepsilon)$-Approximation Algorithms for Binary Matrix Factorization
ICML 2023
Randomized Greedy Learning for Non-monotone Stochastic Submodular Maximization Under Full-bandit Feedback
AISTATS 2023
Block Subsampled Randomized Hadamard Transform for Nyström Approximation on Distributed Architectures
ICML 2023
SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems
ICML 2023
Sparse PCA: a Geometric Approach
JMLR 2023
How Do You Want Your Greedy: Simultaneous or Repeated?
JMLR 2023
GNN&GBDT-Guided Fast Optimizing Framework for Large-scale Integer Programming
ICML 2023
Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits
ICML 2023
Rethinking Warm-Starts with Predictions: Learning Predictions Close to Sets of Optimal Solutions for Faster $\text{L}$-/$\text{L}^\natural$-Convex Function Minimization
ICML 2023
Heuristic Search for Multi-Objective Probabilistic Planning
AAAI 2023
Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality
JMLR 2022
LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data
JMLR 2022
Data-Efficient Structured Pruning via Submodular Optimization
NIPS 2022
Online Learning for Min Sum Set Cover and Pandora’s Box
ICML 2022
A Joint Exponential Mechanism For Differentially Private Top-$k$
ICML 2022
Maximum Consensus by Weighted Influences of Monotone Boolean Functions
CVPR 2022
FastDOG: Fast Discrete Optimization on GPU
CVPR 2022
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