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)
Analytical Integral Global Optimization
L4DC 2025
Analytic DAG Constraints for Differentiable DAG Learning
ICLR 2025
An And-Sum Circuit with Signed Edges That Is More Succinct than SDD
AAAI 2025
An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models
JMLR 2025
An Asynchronous Bundle Method for Distributed Learning Problems
ICLR 2025
An Automatic Sound and Complete Abstraction Method for Generalized Planning with Baggable Types
AAAI 2025
Anchor Search: A Unified Framework for Suboptimal Bidirectional Search
AAAI 2025
A Near Linear Query Lower Bound for Submodular Maximization
ICML 2025
An Efficient Core-Guided Solver for Weighted Partial MaxSAT
IJCAI 2025
An Elite-guided Weighted Simulated Annealing Algorithm for the Clique Partitioning Problem
AAAI 2025
An Enhanced Levenberg--Marquardt Method via Gram Reduction
AAAI 2025
An Error Analysis of Flow Matching for Deep Generative Modeling
ICML 2025
A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization
JMLR 2025
An Information-theoretic Perspective of Hierarchical Clustering on Graphs
UAI 2025
An Inverse Optimization Approach to Contextual Inverse Optimization
IJCAI 2025
An Iterative Algorithm for Rescaled Hyperbolic Functions Regression
AISTATS 2025
An LLM-Empowered Adaptive Evolutionary Algorithm for Multi-Component Deep Learning Systems
AAAI 2025
Annealing Flow Generative Models Towards Sampling High-Dimensional and Multi-Modal Distributions
ICML 2025
A Non-Asymptotic Convergent Analysis for Scored-Based Graph Generative Model via a System of Stochastic Differential Equations
ICML 2025
An Online Adaptive Sampling Algorithm for Stochastic Difference-of-convex Optimization with Time-varying Distributions
ICML 2025
An Online Feasible Point Method for Benign Generalized Nash Equilibrium Problems.
ALT 2025
An Optimal Algorithm for Strongly Convex Min-Min Optimization
UAI 2025
An Optimal Transport-based Latent Mixer for Robust Multi-modal Learning
AAAI 2025
A Novel Convex Gaussian Min Max Theorem for Repeated Features
AISTATS 2025
A Novel Local Search Algorithm for the Vertex Bisection Minimization Problem
IJCAI 2025