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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)

Relative Error Fair Clustering in the Weak-Strong Oracle Model ICML 2025 Relax and Merge: A Simple Yet Effective Framework for Solving Fair k-Means and k-sparse Wasserstein Barycenter Problems ICLR 2025 Relaxed Gaussian Process Interpolation: a Goal-Oriented Approach to Bayesian Optimization JMLR 2025 Replicating Electoral Success AAAI 2025 Replication-proof Bandit Mechanism Design with Bayesian Agents AAAI 2025 Representation Preserving Multiclass Agnostic to Realizable Reduction ICML 2025 Representer Theorems for Metric and Preference Learning: Geometric Insights and Algorithms AISTATS 2025 Reputation-aware Revenue Allocation for Auction-based Federated Learning AAAI 2025 Resistance is Futile: Gradually Declining Immunity Retains the Exponential Duration of Immunity-Free Diffusion IJCAI 2025 Resource Constrained Pathfinding with Enhanced Bidirectional A* Search AAAI 2025 Responsibility-aware Strategic Reasoning in Probabilistic Multi-Agent Systems AAAI 2025 ResQ: A Novel Framework to Implement Residual Neural Networks on Analog Rydberg Atom Quantum Computers ICCV 2025 RESuM: A Rare Event Surrogate Model for Physics Detector Design ICLR 2025 Rethinking Light Decoder-based Solvers for Vehicle Routing Problems ICLR 2025 Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding ICLR 2025 Rethinking the Adversarial Robustness of Multi-Exit Neural Networks in an Attack-Defense Game CVPR 2025 Reversing Flow for Image Restoration CVPR 2025 Revisiting Convergence: Shuffling Complexity Beyond Lipschitz Smoothness ICML 2025 Revisiting Differentially Private Algorithms for Decentralized Online Learning ICML 2025 Revisiting Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model ICML 2025 Revisiting Online Learning Approach to Inverse Linear Optimization: A Fenchel–Young Loss Perspective and Gap-Dependent Regret Analysis AISTATS 2025 Revisiting Projection-Free Online Learning with Time-Varying Constraints AAAI 2025 Revisiting Proportional Allocation with Subsidy: Simplification and Improvements IJCAI 2025 Revisiting Zeroth-Order Optimization: Minimum-Variance Two-Point Estimators and Directionally Aligned Perturbations ICLR 2025 Rewarding the Unlikely: Lifting GRPO Beyond Distribution Sharpening EMNLP 2025