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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
1,353
1,441
2000
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Papers (including subtopics)

Learning Safe Control via On-the-Fly Bandit Exploration ICML 2025 Learning signals defined on graphs with optimal transport and Gaussian process regression AISTATS 2025 Learning sparse generalized linear models with binary outcomes via iterative hard thresholding COLT 2025 Learning Survival Distributions with the Asymmetric Laplace Distribution ICML 2025 Learning to Call: A Field Trial of a Collaborative Bandit Algorithm for Optimizing Call Timing in Mobile Maternal Health MLHC 2025 Learning to Explore and Exploit with GNNs for Unsupervised Combinatorial Optimization ICLR 2025 Learning to Incentivize in Repeated Principal-Agent Problems with Adversarial Agent Arrivals ICML 2025 Learning to Manipulate Under Limited Information AAAI 2025 Learning to Solve Differential Equation Constrained Optimization Problems ICLR 2025 Learning to Steer Learners in Games ICML 2025 Learning Valid Dual Bounds in Constraint Programming: Boosted Lagrangian Decomposition with Self-Supervised Learning AAAI 2025 Learning with Linear Function Approximations in Mean-Field Control JMLR 2025 Learning With Multi-Group Guarantees For Clusterable Subpopulations ICML 2025 Learn to Vaccinate: Combining Structure Learning and Effective Vaccination for Epidemic and Outbreak Control ICML 2025 Length Controlled Generation for Black-box LLMs ACL 2025 Level Set Teleportation: An Optimization Perspective AISTATS 2025 Leveraging Correlation Across Test Platforms for Variance-Reduced Metric Estimation CoRL 2025 Leveraging Per-Instance Privacy for Machine Unlearning ICML 2025 Leveraging Sparsity for Sample-Efficient Preference Learning: A Theoretical Perspective ICML 2025 Limit-sure Reachability for Small Memory Policies in POMDPs is NP-complete UAI 2025 Linear Bandits on Ellipsoids: Minimax Optimal Algorithms COLT 2025 Linear Bandits with Partially Observable Features ICML 2025 Linear Contextual Bandits With Interference ICML 2025 Linear convergence of Sinkhorn’s algorithm for generalized static Schrödinger bridge ICML 2025 Linear Equations with Min and Max Operators: Computational Complexity AAAI 2025