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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)

Dimension-Free Adaptive Subgradient Methods with Frequent Directions ICML 2025 DipLLM: Fine-Tuning LLM for Strategic Decision-making in Diplomacy ICML 2025 DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces AAAI 2025 DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction ICML 2025 Discontinuity-aware Normal Integration for Generic Central Camera Models ICCV 2025 Discovering Symmetries of ODEs by Symbolic Regression AAAI 2025 Discrepancy Minimization in Input-Sparsity Time ICML 2025 Discrete and Continuous Difference of Submodular Minimization ICML 2025 Disentangling the Dual Role of NIC Receive Rings OSDI 2025 Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies ICML 2025 Distance Preservation Games IJCAI 2025 Distances Between Top-Truncated Elections of Different Sizes AAAI 2025 Distributed Event-Based Learning via ADMM ICML 2025 Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal ICML 2025 Distributed Retraction-Free and Communication-Efficient Optimization on the Stiefel Manifold ICML 2025 Distributional Counterfactual Explanations With Optimal Transport AISTATS 2025 Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data AAAI 2025 Distribution Estimation under the Infinity Norm JMLR 2025 DiverSAT: A Novel and Effective Local Search Algorithm for Diverse SAT Problem AAAI 2025 Diversified Flow Matching with Translation Identifiability ICML 2025 Diversity Explains Inference Scaling Laws: Through a Case Study of Minimum Bayes Risk Decoding ACL 2025 Dividing Conflicting Items Fairly IJCAI 2025 Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport ACL 2025 Domain Randomization is Sample Efficient for Linear Quadratic Control L4DC 2025 DONIS: Importance Sampling for Training Physics-Informed DeepONet IJCAI 2025