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
'10
'15
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'25
Papers (including subtopics)
On the Power of Learning-Augmented Search Trees
ICML 2025
On the Power of Optimism in Constrained Online Convex Optimization
IJCAI 2025
On the Power of Randomization for Obviously Strategy-Proof Mechanisms
AAAI 2025
On the Power of Strategic Corpus Enrichment in Content Creation Games
AAAI 2025
On the Price of Differential Privacy for Hierarchical Clustering
ICLR 2025
On the Private Estimation of Smooth Transport Maps
ICML 2025
On the query complexity of sampling from non-log-concave distributions (extended abstract)
COLT 2025
On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension
JMLR 2025
On the Surprising Robustness of Sequential Convex Optimization for Contact-Implicit Motion Planning
RSS 2025
On the Tension between Byzantine Robustness and No-Attack Accuracy in Distributed Learning
ICML 2025
On the Utility of Equal Batch Sizes for Inference in Stochastic Gradient Descent
JMLR 2025
Open Problem: Optimal Instance-Dependent Sample Complexity for finding Nash Equilibrium in Two Player Zero-Sum Matrix games
COLT 2025
Operator Learning for Hyperbolic PDEs
JMLR 2025
OPTAMI: Global Superlinear Convergence of High-order Methods
ICLR 2025
OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling
ICLR 2025
OPTICAL: Leveraging Optimal Transport for Contribution Allocation in Dataset Distillation
CVPR 2025
Optimal Algorithm for Max-Min Fair Bandit
ICML 2025
Optimal and Efficient Algorithms for Decentralized Online Convex Optimization
JMLR 2025
Optimal and Efficient Binary Questioning for Accelerated Annotation
AAAI 2025
Optimal and Practical Batched Linear Bandit Algorithm
ICML 2025
Optimal Auction Design for Mixed Bidders
AAAI 2025
Optimal Bounds for Dissatisfaction in Perpetual Voting
AAAI 2025
Optimal Capacity Modification for Stable Matchings with Ties
IJCAI 2025
Optimal Classification Trees for Continuous Feature Data Using Dynamic Programming with Branch-and-Bound
AAAI 2025
Optimal Complexity in Byzantine-Robust Distributed Stochastic Optimization with Data Heterogeneity
JMLR 2025