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
1
2
6
6
5
16
67
72
80
102
133
171
219
398
425
440
487
649
812
1,162
1,353
1,487
1,474
1,600
1,870
1,441
372
2000
'5
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'25
Papers (including subtopics)
DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows
AISTATS 2025
Decentralized and Uncoordinated Learning of Stable Matchings: A Game-Theoretic Approach
AAAI 2025
Decentralized Asynchronous Optimization with DADAO allows Decoupling and Acceleration
JMLR 2025
Decentralized Bilevel Optimization: A Perspective from Transient Iteration Complexity
JMLR 2025
Decentralized Convergence to Equilibrium Prices in Trading Networks
AAAI 2025
Decentralized Diffusion Models
CVPR 2025
Decentralized Online Learning by Selfish Agents in Coalition Formation
IJCAI 2025
Decentralized Optimization with Coupled Constraints
ICLR 2025
Decentralized Projected Riemannian Stochastic Recursive Momentum Method for Nonconvex Optimization
AAAI 2025
Decision Information Meets Large Language Models: The Future of Explainable Operations Research
ICLR 2025
Decision Making in Hybrid Environments: A Model Aggregation Approach
COLT 2025
Decision Making under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets
ICML 2025
Decomposed Quadratization: Efficient QUBO Formulation for Learning Bayesian Network
AAAI 2025
Decomposing Inconsistencies: Marginal Contributions and Pooling Techniques
IJCAI 2025
Decouple and Decompose: Scaling Resource Allocation with DeDe
OSDI 2025
De-coupled NeuroGF for Shortest Path Distance Approximations on Large Terrain Graphs
ICML 2025
Decoupled Search for the Masses: A Novel Task Transformation for Classical Planning (Extended Abstract)
IJCAI 2025
Decoupled SGDA for Games with Intermittent Strategy Communication
ICML 2025
Decoupling Training-Free Guided Diffusion by ADMM
CVPR 2025
Deep Clustering via Probabilistic Ratio-Cut Optimization
AISTATS 2025
Deep Generative Model for Mechanical System Configuration Design
AAAI 2025
Deep Sturm–Liouville: From Sample-Based to 1D Regularization with Learnable Orthogonal Basis Functions
ICML 2025
Deletion Robust Non-Monotone Submodular Maximization over Matroids
JMLR 2025
DeMo: Deep Motion Field Consensus with Learnable Kernels for Two-view Correspondence Learning
AAAI 2025
De Novo Molecular and Crystal Design with Latent Space Bayesian Optimization
AAAI 2025