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Optimization

14,850 papers (55 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Continuous Optimization (4,424) Stochastic Methods (2,991) Combinatorial Optimization (2,615) Online Algorithms (2,404) Optimization (1,521) Game Theory (1,046) Convex Optimization (864) Discrete Optimization (721) Optimal Transport (474) Sparse Optimization (416) Optimal Control (271) Global Optimization (200) Non-Convex Optimization (182) Distributed Learning (164) Approximation Algorithms (162) Multi-Objective Optimization (151) Distributed Optimization (136) Bayesian Optimization (132) Theory (109) Compressed Sensing (102) Algorithms (89) Robust Optimization (86) Submodular Optimization (77) Kernel Methods (75) Evolutionary Algorithm (72) Linear Programming (54) Tensor Decomposition (48) Bilevel Optimization (42) Integer Programming (38) Matrix Completion (33) Algorithm (21) Regularization (11)

Papers per year

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16
133
440
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2000
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Papers (including subtopics)

Generalization Error Bounds for Noisy, Iterative Algorithms via Maximal Leakage COLT 2023 Generalized Belief Transport NeurIPS 2023 Generalized Confidence Constraints AAAI 2023 Generalized equivalences between subsampling and ridge regularization NeurIPS 2023 Generalized Implicit Follow-The-Regularized-Leader ICML 2023 Generalized Polyak Step Size for First Order Optimization with Momentum ICML 2023 Generalized-Smooth Nonconvex Optimization is As Efficient As Smooth Nonconvex Optimization ICML 2023 Generalize Learned Heuristics to Solve Large-scale Vehicle Routing Problems in Real-time ICLR 2023 Generating Private Synthetic Data with Genetic Algorithms ICML 2023 Generating Synthetic Datasets by Interpolating along Generalized Geodesics UAI 2023 Generative Adversarial Symmetry Discovery ICML 2023 Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport NeurIPS 2023 Geodesically convex M-estimation in metric spaces COLT 2023 Geometric Analysis of Matrix Sensing over Graphs NeurIPS 2023 Geometric Barriers for Stable and Online Algorithms for Discrepancy Minimization COLT 2023 Geometry-Informed Neural Operator for Large-Scale 3D PDEs NeurIPS 2023 Gibbsian Polar Slice Sampling ICML 2023 Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization JMLR 2023 Global Identifiability of ℓ_1-based Dictionary Learning via Matrix Volume Optimization NeurIPS 2023 Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application to Credit-Risk Evaluation JMLR 2023 Globally solving the Gromov-Wasserstein problem for point clouds in low dimensional Euclidean spaces NeurIPS 2023 Global optimality for Euclidean CCCP under Riemannian convexity ICML 2023 Global Optimality in Bivariate Gradient-based DAG Learning NeurIPS 2023 Global Optimization with Parametric Function Approximation ICML 2023 GloptiNets: Scalable Non-Convex Optimization with Certificates NeurIPS 2023