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
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Papers (including subtopics)
Annotation-Efficient Coreset Selection for Context-dependent Segmentation
CVPR 2026
Anomaly as Non-Conformity via Training-Free Graph Laplacian Energy Minimization
CVPR 2026
An Optimal Transport-driven Approach for Cultivating Latent Space in Online Incremental Learning
CVPR 2026
A Novel Sliced Fused Gromov-Wasserstein Distance
AAAI 2026
AnyPro: Preference-Preserving Anycast Optimization based on Strategic AS-Path Prepending
NSDI 2026
Aperiodic Tiling and Rhythmic Canons: A CP Journey
AAAI 2026
Approximately Envy-free and Equitable Allocations of Indivisible Items for Non-monotone Valuations
AAAI 2026
Approximation Rates for Schrödinger Bridge Potentials via Fixed-Point ERM
UAI 2026
Approximations and Learning for Continuous State and Action MDPs under Average Cost Criteria
JMLR 2026
A Quasi-Polynomial Time Mean Estimator Under Mean-Shift Contamination with Unknown Covariance
COLT 2026
Area-Optimal Control Strategies for Heterogeneous Multi-Agent Pursuit
AAAI 2026
A Scalable and Exact Relaxation for Densest k-Subgraph via Error Bounds
AAAI 2026
A simple, optimal and efficient algorithm for online exp-concave optimization
COLT 2026
A Single-Loop Stochastic Proximal Quasi-Newton Method for Large-Scale Nonsmooth Convex Optimization
JMLR 2026
A Solution Space Transformation-Guided Co-Evolution for Energy-Saving Distributed Heterogeneous Flexible Job Shop Scheduling
AAAI 2026
Assignment Problems in Cost Function Networks
AAAI 2026
A Switching Framework for Online Interval Scheduling with Predictions
AAAI 2026
A Symplectic Analysis of Alternating Mirror Descent
JMLR 2026
A Theoretical Model for Grit in Pursuing Ambitious Ends
AAAI 2026
A TSP-Based Algorithm for Multi-League Traveling Tournament
AAAI 2026
B$^3$-Seg: Camera-Free, Training-Free 3DGS Segmentation via Analytic EIG and Beta-Bernoulli Bayesian Updates
CVPR 2026
Balance Equation-based Distributionally Robust Offline Imitation Learning
L4DC 2026
Balancing Expressivity and Learnability in Quantum Kernel Bandit Optimization
UAI 2026
Bandit Learning for Online Scheduling with Immediate Decision
UAI 2026
Bandit Learning in Housing Markets
AAAI 2026