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
'20
'25
Papers (including subtopics)
Learning Bayesian Network Classifiers to Minimize Class Variable Parameters
JMLR 2026
Learning Decision-Sufficient Representations for Linear Optimization
COLT 2026
Learning Stable Digraphs from Sparse-Input Linear Structural Causal Models
UAI 2026
Learning to accelerate distributed ADMM using graph neural networks
L4DC 2026
Learning to Solve Constrained Bilevel Control Co-Design Problems
L4DC 2026
Learning to Tune Optical WANs: A Field Deployment of Noise Models in Optical Networks
NSDI 2026
Learn to Relax with Large Language Models: Solving Constraint Optimization Problems via Bidirectional Coevolution
ACL 2026
Lens Component Deletion based on Differentiable Ray Tracing
CVPR 2026
Lightweight Optimal-Transport Harmonization on Edge Devices
AAAI 2026
Markovian Compression: Looking to the Past Helps Accelerate the Future
UAI 2026
Maximally Robust Satisficing Bayesian Optimization
UAI 2026
MDK: Rethinking the Data Center Memory Reclamation Problem
OSDI 2026
MeshA*: Efficient Path Planning with Motion Primitives
AAAI 2026
Minimal Constraint Relaxation for Multiview Autocalibration
CVPR 2026
Minimax Optimal Convergence of Gradient Descent in Logistic Regression via Large and Adaptive Stepsizes
JMLR 2026
Minimizing Inequity in Facility Location Games
AAAI 2026
Mortise: Auto-tuning Congestion Control to Optimize QoE via Network-Aware Parameter Optimization
NSDI 2026
Multi-Agent Path Finding with Unassigned Agents (MAPFUA)
AAAI 2026
Multi-District School Choice: Playing on Several Fields
AAAI 2026
Multi-Objective Bilevel Learning
AAAI 2026
Multi-Objective Search: Algorithms, Applications, and Emerging Directions
AAAI 2026
Multiple-Interval Coverage for Resource Management of Passive Surveillance Systems
AAAI 2026
Multiple-play Stochastic Bandits with Prioritized Arm Capacity Sharing
AAAI 2026
Multi-Scale Gradient-Guided Unrolling Architecture with Adaptive Mamba for Compressive Sensing
CVPR 2026
MUSS: Multilevel Subset Selection for Relevance and Diversity
UAI 2026